{"certificate":{"analysis_mode":"DUAL_STREAM_PARALLEL","auditable_verdict":"AUTHENTIC_MEDIA_LIKELY","calibrated_confidence":0.9452,"calibrated_probability":0.0548,"calibrated_scores":{"Deepfake":0.0548,"Realism":0.9452},"certificate_id":"CERT-DF-1F508851","compliance_standard":"EU AI Act Article 50 & DSA Auditable Media","composite_risk_score":0.2688,"corneal_reflection_analysis":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"decision_threshold":0.8118,"dual_stream_breakdown":{"fusion_formula":"Risk_composite = 0.95 * Risk_general + 0.05 * Risk_human","human_gate_triggered":true,"mode":"DUAL_STREAM_PARALLEL","stream_1_general_vision":{"fake_probability":0.2755,"model_name":"General Vision Transformer + PRNU Hardware Filter (6D Multi-Modal)","sensor_prnu_discrepancy":0.1955,"spatial_noise_inconsistency":0.054,"spectral_2d_fft":0.0,"stream_risk_score":0.2475,"uncertainty_entropy":0.8493,"weight":0.95},"stream_2_human_biometrics":{"decision_threshold_tau":0.8118,"ece_status":"COMPLIANT (ECE < 0.020)","forensic_indicators":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"optical_gaze_consistent":true,"skin_rppg_consistency":0.8364,"wavelet_high_freq_artifacts":false},"model_name":"Human-Centric Multi-Modal Detector (WAVIE + Corneal Reflection + rPPG + ECE)","platt_temperature_T":1.6178,"raw_logit":1.1663,"stream_risk_score":0.6728,"weight":0.05},"vn_demographic_cohort":"vn_street_outdoor"},"evidence_matrix_6d":{"dim1_passive_vit":{"dimension_name":"1. Passive Vision Transformer Feature Vector","score":0.2755,"status":"AUTHENTIC","weight":0.55},"dim2_frequency_fft":{"dimension_name":"2. High-Frequency 2D FFT Lattice Spikes","score":0.0,"status":"NATURAL_ROLLOFF","weight":0.15},"dim3_sensor_prnu":{"details":{"interpretation":"Sensor PRNU hardware fingerprint verified; uniform camera sensor residual.","noise_kurtosis":8.3713,"prnu_discrepancy_score":0.1955,"residual_energy":7.1129,"residual_variance_ratio":0.0196,"sensor_fingerprint_verified":true},"dimension_name":"3. Photo-Response Non-Uniformity (Sensor Hardware Residual)","score":0.1955,"sensor_verified":true,"status":"HARDWARE_FINGERPRINT_VERIFIED","weight":0.15},"dim4_spatial_inconsistency":{"dimension_name":"4. Spatial Noise Variance Differential","score":0.054,"status":"UNIFORM_SPATIAL","weight":0.1},"dim5_corneal_reflection":{"details":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"dimension_name":"5. Ophthalmic Corneal Specular Reflection Symmetry","optical_gaze_consistent":true,"score":0.0,"status":"CONSISTENT_LIGHT_SOURCE"},"dim6_patch_heatmap_uncertainty":{"dimension_name":"6. Spatial Patch-Saliency Grid & Shannon Entropy","peak_hotspot":{"anatomical_region":"Peripheral Silhouette / Hairline Boundary","grid_coord":[7,1],"peak_anomaly_score":0.6467},"prediction_entropy":0.8493,"scene_context":{"category":"Ch\u00e2n Dung Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","confidence":0.93,"environment":"Ngo\u1ea1i c\u1ea3nh \u0111\u01b0\u1eddng ph\u1ed1, ph\u01b0\u01a1ng ti\u1ec7n ho\u1eb7c kh\u00f4ng gian t\u1ef1 nhi\u00ean ngo\u00e0i tr\u1eddi","icon":"\ud83c\udfd9\ufe0f","is_outdoor":true,"metrics":{"backdrop_std":49.1,"face_area_ratio":0.009,"foliage_ratio":0.078,"indoor_warm_ratio":0.407,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.037,"sunset_lap_var":1429.7,"sunset_ratio":0.422,"urban_canny_density":22.24,"urban_edge_density":1617.4},"scene_type":"OUTDOOR_STREET_PORTRAIT","short_name":"Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","vn_demographic_category":"vn_street_outdoor"},"status":"LOCALIZED_TAMPERING"}},"forensic_version":"3.0-XAI-6D-AUDITABLE","human_presence_evaluation":{"decoupled_representation":{"background_ratio":0.988,"decoupled_applied":true,"decoupling_strategy":"MASK_GUIDED_ROI_DECOUPLED","foreground_ratio":0.012,"noise_im_discrepancy":0.395,"scientific_rationale":"Pattern Recognition 2025 (Li et al.): B\u00f3c t\u00e1ch tr\u1ef1c giao kh\u00f4ng gian vector v\u00f9ng m\u1eb7t (M_face) kh\u1ecfi ph\u00f4ng n\u1ec1n (1 - M_face)."},"detected_faces":[[169,44,46,55]],"early_exit":{"early_exit_triggered":false,"execution_path":"FULL_DEEP_FORENSIC","fast_path_latency_ms":null,"full_pipeline_latency_ms":78.4,"routing_decision":"\ud83d\udd2c K\u00edch ho\u1ea1t Chu\u1ed7i Gi\u00e1m \u0110\u1ecbnh To\u00e0n Di\u1ec7n \u0110a T\u1ea7ng (Full Deep Forensic Pipeline).","speedup_factor":"1.0x"},"face_count":1,"has_human":true,"is_2d_illustration":false,"presence_evidence":["Ph\u00e1t hi\u1ec7n 1 khu\u00f4n m\u1eb7t qua m\u1ea1ng n\u01a1-ron YuNet DNN (\u0110\u1ed9 tin c\u1eady: 89.0%)","Quan s\u00e1t th\u1ea5y s\u1eafc t\u1ed1 da ng\u01b0\u1eddi (54.6% khung h\u00ecnh)"],"routing_mode":"auto","scene_context":{"category":"Ch\u00e2n Dung Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","confidence":0.93,"environment":"Ngo\u1ea1i c\u1ea3nh \u0111\u01b0\u1eddng ph\u1ed1, ph\u01b0\u01a1ng ti\u1ec7n ho\u1eb7c kh\u00f4ng gian t\u1ef1 nhi\u00ean ngo\u00e0i tr\u1eddi","icon":"\ud83c\udfd9\ufe0f","is_outdoor":true,"metrics":{"backdrop_std":49.1,"face_area_ratio":0.009,"foliage_ratio":0.078,"indoor_warm_ratio":0.407,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.037,"sunset_lap_var":1429.7,"sunset_ratio":0.422,"urban_canny_density":22.24,"urban_edge_density":1617.4},"scene_type":"OUTDOOR_STREET_PORTRAIT","short_name":"Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","vn_demographic_category":"vn_street_outdoor"},"skin_percentage":54.6},"image_metadata":{"dimensions":"527x546","face_cropping_applied":true,"face_detected":true,"filepath":"/app/report_colab/daily_benchmark/synthetic_counterfactuals/fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","format":"RGB","media_filename":"fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","media_url":"/uploads/fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg"},"media_filename":"fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","media_integrity":{"media_filename":"fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","media_url":"/uploads/fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","sha256":"d09c154f8fba764e6b90d1bce3441bbf7d38a29dc3d11148b4d1cf2bce310501","verification_url":"https://detection.dtpsoft.vn/api/verify/CERT-DF-1F508851"},"media_url":"/uploads/fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","multi_dimensional_evidence":{"corneal_reflection_analysis":{"corneal_asymmetry_score":0.0,"corneal_reflection_symmetry":1.0,"details":"Corneal reflections diffuse/matte: kh\u00f4ng ph\u00e1t hi\u1ec7n ph\u1ea3n x\u1ea1 \u0111i\u1ec3m ch\u00f3i (glint) b\u1ea5t th\u01b0\u1eddng gi\u1eefa hai m\u1eaft.","glints_count":0,"optical_gaze_consistent":true,"specular_glints_detected":false,"status":"EVALUATED"},"model_uncertainty_entropy":{"entropy":0.8493,"interpretation":"Uncertain classification boundary"},"passive_model_score":{"class_probabilities":{"Fake":0.2755,"Real":0.7245},"confidence":0.7245,"fake_probability":0.2755,"prediction":"Real"},"saraab_patch_heatmap":{"grid_size":"8x8","heatmap_grid":[[0.019,0.017,0.016,0.015,0.016,0.016,0.019,0.014],[0.03,0.034,0.036,0.039,0.038,0.064,0.093,0.125],[0.589,0.361,0.231,0.134,0.096,0.081,0.08,0.099],[0.102,0.086,0.121,0.072,0.066,0.137,0.097,0.074],[0.283,0.072,0.048,0.052,0.057,0.043,0.029,0.15],[0.401,0.248,0.079,0.124,0.15,0.081,0.046,0.087],[0.016,0.146,0.054,0.079,0.105,0.074,0.316,0.247],[0.013,0.647,0.041,0.035,0.04,0.05,0.32,0.549]],"peak_hotspot":{"anatomical_region":"Peripheral Silhouette / Hairline Boundary","grid_coord":[7,1],"peak_anomaly_score":0.6467},"spatial_dispersion":0.0188},"sensor_prnu_analysis":{"interpretation":"Sensor PRNU hardware fingerprint verified; uniform camera sensor residual.","noise_kurtosis":8.3713,"prnu_discrepancy_score":0.1955,"residual_energy":7.1129,"residual_variance_ratio":0.0196,"sensor_fingerprint_verified":true},"spatial_inconsistency_analysis":{"interpretation":"Uniform spatial noise distribution","spatial_inconsistency_score":0.054},"spectral_frequency_analysis":{"high_frequency_anomaly_score":0.0,"interpretation":"Normal natural frequency spectrum"}},"proof":{"signature_hex":"f9c3734659a45f41bee48c42136a15bb1a8e36cb6c5d7b2491640b28d5e86139","status":"VERIFIED_VALID","type":"Ed25519SHA256Signature2026","verification_method":"https://detection.dtpsoft.vn/api/verify/CERT-DF-1F508851"},"sample_image_url":"/uploads/fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","scene_context":{"category":"Ch\u00e2n Dung Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","confidence":0.93,"environment":"Ngo\u1ea1i c\u1ea3nh \u0111\u01b0\u1eddng ph\u1ed1, ph\u01b0\u01a1ng ti\u1ec7n ho\u1eb7c kh\u00f4ng gian t\u1ef1 nhi\u00ean ngo\u00e0i tr\u1eddi","icon":"\ud83c\udfd9\ufe0f","is_outdoor":true,"metrics":{"backdrop_std":49.1,"face_area_ratio":0.009,"foliage_ratio":0.078,"indoor_warm_ratio":0.407,"is_mature_aging":false,"is_occluded":false,"is_outdoor":true,"sky_ratio":0.037,"sunset_lap_var":1429.7,"sunset_ratio":0.422,"urban_canny_density":22.24,"urban_edge_density":1617.4},"scene_type":"OUTDOOR_STREET_PORTRAIT","short_name":"Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","vn_demographic_category":"vn_street_outdoor"},"status":"VERIFIED_VALID","timestamp":"2026-11-03 07:37:47 UTC","triad_council_debate":{"certificate_id":"CERT-DF-4A0E826F","consensus_summary":"H\u1ed9i \u0111\u1ed3ng Ba T\u00e1c th\u1ec3 (Triad Council) \u0111\u1ea1t \u0111\u1ed3ng thu\u1eadn 100%: M\u1eabu n\u1ed9i dung \u0111\u01b0\u1ee3c gi\u00e1m \u0111\u1ecbnh l\u00e0 'CH\u00c2N TH\u1ef0C (REAL)' v\u1edbi ch\u1ec9 s\u1ed1 r\u1ee7i ro t\u00edch h\u1ee3p R = 26.9% \u0111\u1ed1i chi\u1ebfu ng\u01b0\u1ee1ng t\u1ed1i \u01b0u Youden \u03c4* = 0.8118.","consensus_verdict":"VERIFIED_AUTHENTIC_REALISM","council_protocol":"Option_B_Asymmetric_Triad_Council","debate_transcript":{"claude_chief_inquisitor":{"agent":"Anthropic Claude Sonnet 5.5 (Chief Inquisitor & Legal Auditor)","audit_ruling":"Ch\u1ea5t v\u1ea5n ph\u1ea3n bi\u1ec7n (Devil's Advocate): \u0110\u00e3 r\u00e0 so\u00e1t kh\u1ea3 n\u0103ng b\u1ecb qua m\u1eb7t b\u1edfi DeepFake tinh vi (k\u1ef9 thu\u1eadt ch\u1ed1ng ph\u00e1t hi\u1ec7n). Kh\u00f4ng ghi nh\u1eadn b\u1ea5t k\u1ef3 d\u1ea5u hi\u1ec7u ch\u1eafp v\u00e1 token r\u1eddi r\u1ea1c hay ph\u00e2n k\u1ef3 ngu\u1ed3n s\u00e1ng n\u00e0o. Ki\u1ec3m to\u00e1n to\u00e1n h\u1ecdc: R\u1ee7i ro R = 26.9% n\u1eb1m an to\u00e0n d\u01b0\u1edbi ng\u01b0\u1ee1ng ph\u00e1n quy\u1ebft Youden \u03c4* = 0.8118. X\u00e1c nh\u1eadn ph\u00e1n quy\u1ebft CH\u00c2N TH\u1ef0C (REAL), \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n c\u1ea5p ch\u1ee9ng th\u01b0 b\u1ea3o \u0111\u1ea3m t\u00ednh to\u00e0n v\u1eb9n s\u1ed1.","mathematical_calibration_audit":{"is_threshold_honored":true,"legal_compliance_status":"CERTIFIED","temperature_T":1.6178,"youden_tau":0.8118},"role":"Cross-Examiner, Devil's Advocate & EU AI Act Article 50 Auditor"},"gemini_lead_examiner":{"agent":"Google Gemini 3.8 Flash (Lead Forensic Examiner)","confidence_assessment":0.7312,"findings_argument":"Sinh tr\u1eafc h\u1ecdc ng\u01b0\u1eddi th\u1eadt v\u00e0 c\u1ea3m bi\u1ebfn ho\u00e0n to\u00e0n li\u1ec1n m\u1ea1ch: Ph\u1ea3n x\u1ea1 gi\u00e1c m\u1ea1c (\u0111\u1ed1i x\u1ee9ng quang h\u1ecdc \u0394\u03b8 = 0.0\u00b0 nh\u1ea5t qu\u00e1n); v\u00e2n PRNU (0.20) kh\u1edbp n\u1ec1n c\u1ea3nh; ph\u00f9 h\u1ee3p ho\u00e0n to\u00e0n v\u1edbi h\u1ed3 s\u01a1 ch\u00e2n dung nh\u00e2n kh\u1ea9u h\u1ecdc [vn_street_outdoor].","role":"Multimodal Abductive Reasoner"},"meta_muse_investigator":{"active_focus_investigation":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): \u0110\u00e3 r\u00e0 so\u00e1t to\u00e0n b\u1ed9 c\u00e1c ph\u00e2n ph\u1ed1i nhi\u1ec5u c\u1ea3m bi\u1ebfn, quang h\u1ecdc v\u00e0 n\u00e9n truy\u1ec1n d\u1eabn. Kh\u00f4ng ph\u00e1t hi\u1ec7n b\u1ea5t k\u1ef3 d\u1ea5u v\u1ebft can thi\u1ec7p tr\u01b0\u1eddng ti\u1ec1m \u1ea9n t\u1eeb c\u00e1c m\u00f4 h\u00ecnh t\u1ea1o sinh m\u00e3 ngu\u1ed3n m\u1edf (Meta Movie Gen, DiT, LLaMA-based generators). C\u00e1c th\u00f4ng s\u1ed1 ho\u00e0n to\u00e0n nh\u1ea5t qu\u00e1n v\u1edbi \u1ea3nh ch\u1ee5p t\u1ef1 nhi\u00ean.","agent":"Meta Muse AI (Autonomous Counter-Evidence & Open-Weight Threat Specialist)","counter_evidence_verdict":"NATURAL_PHYSICAL_DISTRIBUTION","model_family":"Meta Muse (Wonder / Spark / Glimmer 30B)","role":"Autonomous Counter-Evidence & Open-Source Generative Threat Investigator","threat_matching_assessment":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): \u0110\u00e3 r\u00e0 so\u00e1t to\u00e0n b\u1ed9 c\u00e1c ph\u00e2n ph\u1ed1i nhi\u1ec5u c\u1ea3m bi\u1ebfn, quang h\u1ecdc v\u00e0 n\u00e9n truy\u1ec1n d\u1eabn. Kh\u00f4ng ph\u00e1t hi\u1ec7n b\u1ea5t k\u1ef3 d\u1ea5u v\u1ebft can thi\u1ec7p tr\u01b0\u1eddng ti\u1ec1m \u1ea9n t\u1eeb c\u00e1c m\u00f4 h\u00ecnh t\u1ea1o sinh m\u00e3 ngu\u1ed3n m\u1edf (Meta Movie Gen, DiT, LLaMA-based generators). C\u00e1c th\u00f4ng s\u1ed1 ho\u00e0n to\u00e0n nh\u1ea5t qu\u00e1n v\u1edbi \u1ea3nh ch\u1ee5p t\u1ef1 nhi\u00ean.","vendor":"Meta AI"},"muse_threat_expert":{"active_focus_investigation":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): \u0110\u00e3 r\u00e0 so\u00e1t to\u00e0n b\u1ed9 c\u00e1c ph\u00e2n ph\u1ed1i nhi\u1ec5u c\u1ea3m bi\u1ebfn, quang h\u1ecdc v\u00e0 n\u00e9n truy\u1ec1n d\u1eabn. Kh\u00f4ng ph\u00e1t hi\u1ec7n b\u1ea5t k\u1ef3 d\u1ea5u v\u1ebft can thi\u1ec7p tr\u01b0\u1eddng ti\u1ec1m \u1ea9n t\u1eeb c\u00e1c m\u00f4 h\u00ecnh t\u1ea1o sinh m\u00e3 ngu\u1ed3n m\u1edf (Meta Movie Gen, DiT, LLaMA-based generators). C\u00e1c th\u00f4ng s\u1ed1 ho\u00e0n to\u00e0n nh\u1ea5t qu\u00e1n v\u1edbi \u1ea3nh ch\u1ee5p t\u1ef1 nhi\u00ean.","agent":"Meta Muse AI (Autonomous Counter-Evidence & Open-Weight Threat Specialist)","counter_evidence_verdict":"NATURAL_PHYSICAL_DISTRIBUTION","model_family":"Meta Muse (Wonder / Spark / Glimmer 30B)","role":"Autonomous Counter-Evidence & Open-Source Generative Threat Investigator","threat_matching_assessment":"\u0110i\u1ec1u tra kh\u00e1ng ch\u1ee9ng \u0111\u1ed9c l\u1eadp (Active Focus): \u0110\u00e3 r\u00e0 so\u00e1t to\u00e0n b\u1ed9 c\u00e1c ph\u00e2n ph\u1ed1i nhi\u1ec5u c\u1ea3m bi\u1ebfn, quang h\u1ecdc v\u00e0 n\u00e9n truy\u1ec1n d\u1eabn. Kh\u00f4ng ph\u00e1t hi\u1ec7n b\u1ea5t k\u1ef3 d\u1ea5u v\u1ebft can thi\u1ec7p tr\u01b0\u1eddng ti\u1ec1m \u1ea9n t\u1eeb c\u00e1c m\u00f4 h\u00ecnh t\u1ea1o sinh m\u00e3 ngu\u1ed3n m\u1edf (Meta Movie Gen, DiT, LLaMA-based generators). C\u00e1c th\u00f4ng s\u1ed1 ho\u00e0n to\u00e0n nh\u1ea5t qu\u00e1n v\u1edbi \u1ea3nh ch\u1ee5p t\u1ef1 nhi\u00ean.","vendor":"Meta AI"}},"digital_signature_algorithm":"Ed25519-SHA256","eu_ai_act_compliance":"Article 50 Compliant","legal_metadata":{"issuer":"NCS Autonomous Multi-Agent Forensic Tribunal (v3.0)","schema_context":"https://schema.org/DigitalDocument","sha256_integrity":"71c47e5b72a5158efa6cf86baa85f75799d3cb9482fa1b72742b17121c0ed445","timestamp_iso":"2026-11-03T07:37:47Z"},"manifest_used":{"biometric_and_physical_measurements":{"corneal_ray_tracing":{"asymmetry_score":0.0,"bypassed":false,"delta_theta_degrees":0.0},"frequency_fft_lattice_score":0.0,"hardware_prnu_disparity":0.1955,"hotspot_anomaly_region":"Peripheral Silhouette / Hairline Boundary","hotspot_peak_score":0.6467,"lipsync_desync_ms":0.0,"spatial_boundary_gradient":0.054,"vietprism_f0_variance":0.0,"vit_passive_probability":0.2755,"vocoder_spectral_drift":0.0},"calibration_and_decision":{"calibrated_temperature_T":1.6178,"composite_risk_score":0.2688,"entropy_uncertainty":-0.6189,"is_synthetic_verdict":false,"youden_optimal_threshold_tau":0.8118},"media_meta":{"filename":"fake_faceswap_seed_wiki_vn_vn_street_outdoor_b3841cf576.jpg","has_human":true,"media_type":"image","scene_classification":"Ch\u00e2n Dung Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1","scene_environment":"Ngo\u1ea1i c\u1ea3nh \u0111\u01b0\u1eddng ph\u1ed1, ph\u01b0\u01a1ng ti\u1ec7n ho\u1eb7c kh\u00f4ng gian t\u1ef1 nhi\u00ean ngo\u00e0i tr\u1eddi","vn_demographic_category":"vn_street_outdoor"},"schema_version":"2.0_triad_fact_manifest"}},"xai_explainability_statement":"[X\u00c1C NH\u1eacN CH\u00c2N TH\u1ef0C (AUTHENTIC) - R\u1ee7i ro t\u1ed5ng h\u1ee3p: 26.9%]. Ph\u00e2n t\u00edch ma tr\u1eadn ch\u1ee9ng c\u1ee9 6 chi\u1ec1u (6D Evidence Matrix):\n- Ph\u00e2n lo\u1ea1i ng\u1eef c\u1ea3nh m\u00f4i tr\u01b0\u1eddng: Ch\u00e2n Dung Ngo\u1ea1i C\u1ea3nh / \u0110\u01b0\u1eddng Ph\u1ed1 - Ngo\u1ea1i c\u1ea3nh \u0111\u01b0\u1eddng ph\u1ed1, ph\u01b0\u01a1ng ti\u1ec7n ho\u1eb7c kh\u00f4ng gian t\u1ef1 nhi\u00ean ngo\u00e0i tr\u1eddi (\u0110\u1ed9 tin c\u1eady: 93%).\n- V\u00e2n c\u1ea3m bi\u1ebfn ph\u1ea7n c\u1ee9ng (PRNU = 0.20) \u0111\u1ed3ng nh\u1ea5t v\u00e0 li\u1ec1n m\u1ea1ch gi\u1eefa v\u00f9ng da m\u1eb7t, vi\u1ec1n t\u00f3c v\u00e0 ph\u00f4ng n\u1ec1n th\u1ef1c t\u1ebf.\n- Ph\u1ea3n x\u1ea1 \u00e1nh s\u00e1ng gi\u00e1c m\u1ea1c (\u0110\u1ed9 \u0111\u1ed1i x\u1ee9ng = 100.0%) quang h\u1ecdc nh\u1ea5t qu\u00e1n gi\u1eefa hai m\u1eaft, ph\u00f9 h\u1ee3p v\u1edbi m\u1ed9t ngu\u1ed3n s\u00e1ng m\u00f4i tr\u01b0\u1eddng duy nh\u1ea5t.\n- Ph\u1ed5 n\u0103ng l\u01b0\u1ee3ng t\u1ea7n s\u1ed1 cao 2D FFT (0.00) suy gi\u1ea3m t\u1ef1 nhi\u00ean theo quy lu\u1eadt quang h\u1ecdc (1/f^\u03b1), kh\u00f4ng ph\u00e1t hi\u1ec7n l\u01b0\u1edbi tu\u1ea7n ho\u00e0n nh\u00e2n t\u1ea1o.\n- \u0110\u1ed9 ph\u00e2n t\u00e1n nhi\u1ec5u kh\u00f4ng gian (0.05) ph\u00e2n b\u1ed1 \u0111\u1ed3ng \u0111\u1ec1u v\u00e0 chuy\u1ec3n ti\u1ebfp m\u01b0\u1ee3t m\u00e0.\n- B\u1ea3n \u0111\u1ed3 n\u0103ng l\u01b0\u1ee3ng kh\u00f4ng gian (Spatial Patch Saliency) ghi nh\u1eadn \u0111\u1ed9 bi\u1ebfn thi\u00ean t\u1ef1 nhi\u00ean t\u1eadp trung t\u1ea1i: Peripheral Silhouette / Hairline Boundary (Texture gradient = 0.65) - \u0111\u1eb7c tr\u01b0ng vi sai chi ti\u1ebft b\u1ec1 m\u1eb7t quang h\u1ecdc th\u1ef1c t\u1ebf, kh\u00f4ng c\u00f3 d\u1ea5u v\u1ebft ch\u1eafp v\u00e1."},"certificate_id":"CERT-DF-1F508851","status":"VERIFIED_VALID","valid":true}