{"id":"W1989093543","doi":"10.1145/2808196.2811639","title":"ETS System for AV+EC 2015 Challenge","year":2015,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal; École de Technologie Supérieure","funders":"","keywords":"Computer science; Feature (linguistics); Modalities; Artificial intelligence; Artificial neural network; Random forest; Modality (human–computer interaction); Set (abstract data type); Pattern recognition (psychology); Speech recognition","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":[0.002763316,0.002521145,0.001892948,0.001176189,0.0009786269,0.00227903,0.002863538,0.002932896,0.03122713],"category_scores_gemma":[0.005167457,0.0004096022,0.001150906,0.0007955044,0.0003694753,0.002855487,0.002987471,0.002238282,0.03621762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306629,"about_ca_system_score_gemma":0.001344853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116102,"about_ca_topic_score_gemma":0.01413123,"domain_scores_codex":[0.9979918,0.0004519023,0.0001463692,0.0005779931,0.0005439008,0.0002880622],"domain_scores_gemma":[0.9988486,0.0001537284,0.00003614489,0.0002798183,0.0004886638,0.0001929783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001439153,0.0005015318,0.001884973,0.0005804962,0.0002361994,0.0005656146,0.0001296261,0.0092763,0.007782369,0.002169856,0.8206145,0.1548194],"study_design_scores_gemma":[0.000964432,0.001669164,0.009772654,0.0002695591,0.0002144031,0.00121272,0.0006158741,0.353488,0.03508423,0.01222926,0.5841502,0.0003294151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.1398807,0.007575104,0.1318156,0.005013967,0.01541146,0.005213463,0.23047,0.3031876,0.1614322],"genre_scores_gemma":[0.2250455,0.0007749172,0.117027,0.001902989,0.001119091,0.001868322,0.5651462,0.004784063,0.08233191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03122713,"threshold_uncertainty_score":0.1044652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841280843591787,"score_gpt":0.2914930587223466,"score_spread":0.2130802502864287,"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."}}