{"id":"W4385882008","doi":"10.1109/bmsb58369.2023.10211506","title":"Machine Learning Classification for Video Cleaning","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Generality; Artificial intelligence; Training set; Computer vision; Machine learning; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521599,0.00005561619,0.00005713342,0.0001168807,0.00008994321,0.0001361624,0.0002117769,0.00002055632,0.000004157431],"category_scores_gemma":[0.0002784505,0.00005111504,0.00003520168,0.0004979703,0.00001217163,0.0004670347,0.00007882728,0.00005851376,0.0003442177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002301471,"about_ca_system_score_gemma":0.00001315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007036206,"about_ca_topic_score_gemma":0.000007632428,"domain_scores_codex":[0.9993678,0.00001234946,0.0001092231,0.0002129101,0.0001317843,0.0001659501],"domain_scores_gemma":[0.9995466,0.0001517972,0.00004217392,0.000173094,0.00004460591,0.00004168758],"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":[0.00000430213,0.000008000996,0.0003563934,0.00001066798,0.000006007281,0.000001733242,0.0001948751,0.000309984,0.00222685,0.1719778,0.002705984,0.8221974],"study_design_scores_gemma":[0.0001501339,0.00008295695,0.001511328,0.000005765858,0.000001369638,0.000004045698,0.00004978158,0.9314927,0.002547491,0.009521418,0.05455092,0.00008211043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007501365,0.000006504934,0.9670358,0.0009892877,0.0007989424,0.0001695789,6.7372e-7,0.00164407,0.02185378],"genre_scores_gemma":[0.9743139,0.000002676296,0.02130398,0.0001542867,0.00007044787,0.00004441713,0.00001103933,0.00001068322,0.004088565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9668126,"threshold_uncertainty_score":0.4424337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694506523271427,"score_gpt":0.2610364646366686,"score_spread":0.2240913994039543,"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."}}