{"id":"W4287826022","doi":"10.5281/zenodo.3712472","title":"Short Percussive Samples Seperated by Category","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"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":[0.0002601926,0.0009806565,0.0007528856,0.002289531,0.0005839075,0.0004867024,0.0006732454,0.001008695,0.01451907],"category_scores_gemma":[0.001079082,0.000249834,0.0003966916,0.001570122,0.0003267583,0.0004261943,0.0007561283,0.000422914,0.01290749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343516,"about_ca_system_score_gemma":0.0004267703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004078874,"about_ca_topic_score_gemma":0.00952329,"domain_scores_codex":[0.9992867,0.00003020136,0.0000553523,0.0002166086,0.0003014584,0.0001095779],"domain_scores_gemma":[0.9989173,0.0001137,0.0001044899,0.0002702996,0.000513721,0.00008053068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004109825,0.0005628817,0.01544338,0.001236127,0.0001717498,0.001571972,0.0002404599,0.002087176,0.3264767,0.000512888,0.07649415,0.5710928],"study_design_scores_gemma":[0.0003060431,0.001846407,0.4051559,0.0002549428,0.0003714816,0.01004627,0.001013272,0.0292838,0.2992268,0.001227976,0.2510251,0.0002420243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6943779,0.005171967,0.06131108,0.0003641587,0.001048413,0.001027974,0.2012708,0.01114234,0.02428527],"genre_scores_gemma":[0.5579123,0.0011187,0.04064551,0.0002590336,0.0003229291,0.0005569863,0.3693112,0.0006722127,0.0292012],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01451907,"threshold_uncertainty_score":0.04857111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04989780057778736,"score_gpt":0.2386715837198796,"score_spread":0.1887737831420922,"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."}}