{"id":"W2077639681","doi":"10.1109/iscas.2014.6865244","title":"Automatic age recommendation system for children's video content","year":2014,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Novelty; Feature extraction; Classifier (UML); Speech recognition; Artificial intelligence; Cognition; Multimedia","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":[0.0004857646,0.0007303969,0.0008964199,0.003559741,0.0003704976,0.0004905559,0.0008743319,0.0007171756,0.003932117],"category_scores_gemma":[0.001644857,0.000255202,0.000338141,0.0007707995,0.0000891297,0.0009454704,0.0003809524,0.0005073103,0.004247926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528662,"about_ca_system_score_gemma":0.0005157878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007070819,"about_ca_topic_score_gemma":0.01078104,"domain_scores_codex":[0.9995391,0.0000320411,0.00004473848,0.0001906469,0.0001474011,0.00004611929],"domain_scores_gemma":[0.998708,0.000167166,0.0001556426,0.00008593404,0.0007737822,0.0001094925],"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":[0.0006384241,0.0002232956,0.03221131,0.0002869043,0.00009123082,0.0003436271,0.0001126006,0.001687426,0.07770824,0.0005514998,0.02084587,0.8652997],"study_design_scores_gemma":[0.0002042067,0.0009803275,0.2323938,0.0002574437,0.000430239,0.003180993,0.0006333289,0.437852,0.2540034,0.001994249,0.06780869,0.0002612484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3125381,0.00372083,0.5930348,0.0003922414,0.0006389212,0.001009554,0.01728774,0.05853343,0.01284442],"genre_scores_gemma":[0.4911348,0.001164725,0.4680867,0.0002323017,0.0004110295,0.0007149332,0.01990993,0.0005270476,0.01781852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007070819,"threshold_uncertainty_score":0.01405931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157680968447466,"score_gpt":0.2406106249944264,"score_spread":0.2090338153099518,"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."}}