{"id":"W4407926778","doi":"10.18280/ijsse.150108","title":"Deep Learning – Augmented Block Analysis for Detecting Advanced Video Forgeries","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Block (permutation group theory); Computer science; Deep learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181281,0.0008611181,0.000627131,0.001266895,0.0002282167,0.0005002441,0.0006914496,0.0005546581,0.001319246],"category_scores_gemma":[0.00134442,0.0002324422,0.0004449378,0.0005784001,0.0003331606,0.0008523831,0.0007499341,0.00073745,0.0008052618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358732,"about_ca_system_score_gemma":0.000700629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003705499,"about_ca_topic_score_gemma":0.00606025,"domain_scores_codex":[0.9996645,0.00006965569,0.00001670019,0.00007056737,0.0001172303,0.00006135047],"domain_scores_gemma":[0.9995578,0.0001305535,0.00008540795,0.00008121,0.0001164663,0.00002859815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007068226,0.0002123587,0.007193098,0.0001607811,0.0001423392,0.0002887414,0.00008933308,0.1482384,0.09057739,0.004438323,0.00438909,0.7435634],"study_design_scores_gemma":[0.000008185005,0.0001044403,0.00176577,0.00001328376,0.00002297705,0.0001383551,0.00001941155,0.9687735,0.02535254,0.001795002,0.00199486,0.00001164109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.105229,0.001140226,0.8885036,0.0002134684,0.00007368186,0.00009721101,0.0004402022,0.002151834,0.002150842],"genre_scores_gemma":[0.7101097,0.0006878324,0.2829874,0.0001409076,0.00006065415,0.00006927014,0.001111627,0.0001021657,0.004730408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003705499,"threshold_uncertainty_score":0.007367849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003370457350340036,"score_gpt":0.2185851739064238,"score_spread":0.2152147165560838,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}