{"id":"W3202163364","doi":"10.18280/ria.350402","title":"An Adaptive Porn Video Detection Based on Consecutive Frames Using Deep Learning","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Computer vision","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":[0.000567986,0.0007100266,0.0007206275,0.001388914,0.0003096428,0.00045605,0.00106459,0.000569454,0.001439308],"category_scores_gemma":[0.001112949,0.0003236339,0.0004012069,0.0005560817,0.0002848716,0.0007428065,0.0006078372,0.0008487295,0.0004820452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008591261,"about_ca_system_score_gemma":0.0008592563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027834,"about_ca_topic_score_gemma":0.01097864,"domain_scores_codex":[0.9996139,0.00003771573,0.00001300163,0.0001400973,0.000118074,0.00007721721],"domain_scores_gemma":[0.9995895,0.00008839408,0.00004418695,0.0000428326,0.0001901261,0.0000448661],"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":[0.0004744484,0.0002910378,0.004938445,0.00008231934,0.00007288931,0.0001989376,0.00006588757,0.03915208,0.05742142,0.001931272,0.003500803,0.8918706],"study_design_scores_gemma":[0.00001148836,0.00007542378,0.001703446,0.000009983279,0.00001956015,0.00007411874,0.0000131624,0.9782818,0.0184091,0.0005265336,0.0008633972,0.00001200727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1395326,0.0006667097,0.8518313,0.0002932711,0.0002870604,0.0002156435,0.000306188,0.003105277,0.003761978],"genre_scores_gemma":[0.680032,0.0004175636,0.3120499,0.0002427346,0.00009464368,0.0001068081,0.0004521161,0.00009070338,0.006513592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027834,"threshold_uncertainty_score":0.02043706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08027380417397147,"score_gpt":0.356434522406937,"score_spread":0.2761607182329656,"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."}}