{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002315451,0.0009340166,0.00119602,0.002345299,0.0007913483,0.001439085,0.001541312,0.002066589,0.003037093],"category_scores_gemma":[0.009972868,0.0003491522,0.0008677656,0.00287841,0.0005697667,0.0016485,0.0009417775,0.002703698,0.002418623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083878,"about_ca_system_score_gemma":0.0009018484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391234,"about_ca_topic_score_gemma":0.003059896,"domain_scores_codex":[0.9981644,0.0005760407,0.0001401891,0.0004248426,0.0005784572,0.0001161891],"domain_scores_gemma":[0.9960253,0.002041589,0.0002912721,0.0005701167,0.0009985431,0.00007319644],"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":[0.0001013976,0.000264073,0.002795787,0.0002757261,0.0001018379,0.0001428477,0.00008670085,0.127954,0.003149136,0.01420347,0.02171586,0.829209],"study_design_scores_gemma":[0.000007466444,0.00003727015,0.0008908446,0.0000476071,0.0000109956,0.00008273034,0.00004623312,0.9669356,0.00218849,0.02209872,0.007632984,0.00002097596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01250286,0.004346382,0.9747127,0.001430044,0.0003929065,0.0001737041,0.0005648096,0.002052563,0.003824081],"genre_scores_gemma":[0.2702771,0.003426724,0.7134494,0.0006043335,0.0008180183,0.0005308244,0.002607661,0.0002067241,0.008079229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003391234,"threshold_uncertainty_score":0.01224542,"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."}}