{"id":"W2337812952","doi":"10.14288/1.0093087","title":"Ensemble pitch and rhythm error discrimination : the identification and selection of predictors","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhythm; Selection (genetic algorithm); Identification (biology); Computer science; Artificial intelligence; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001691884,0.00001870596,0.00007206672,0.00002357063,0.0001900156,0.00006026941,0.0001403855,0.00003163422,0.00000644607],"category_scores_gemma":[0.00001048119,0.00004643752,0.00001635566,0.0001649807,0.0001432308,0.0005321318,0.00008599553,0.00003977667,3.610474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009895378,"about_ca_system_score_gemma":0.00002285876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008108349,"about_ca_topic_score_gemma":0.01760297,"domain_scores_codex":[0.9995492,0.00002763247,0.00007501081,0.0001736198,0.0001056289,0.00006898049],"domain_scores_gemma":[0.9996387,0.00001443778,0.0001299943,0.00008875672,0.0001016774,0.00002648499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00000284252,0.00004603454,0.01335985,0.0001001336,0.00001363525,0.00000324909,0.004636922,7.281682e-7,0.004032432,0.00006603401,0.0005900821,0.9771481],"study_design_scores_gemma":[0.000146967,0.00003113856,0.9938703,0.00004543158,0.0000155162,0.00003866812,0.0006490041,0.00370232,0.00007595202,0.001353264,0.00002362985,0.00004784943],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914199,0.00005518327,0.08517278,0.0001104839,0.00004163205,0.00008032085,0.00000308063,0.00002133056,0.0003162111],"genre_scores_gemma":[0.9978265,0.00004207785,0.001919606,0.00001215199,0.000006474385,2.411662e-7,8.826875e-7,0.000002085179,0.0001900262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9805104,"threshold_uncertainty_score":0.9984968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561605368401825,"score_gpt":0.1790727471224302,"score_spread":0.163456693438412,"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."}}