{"id":"W2951376271","doi":"10.1177/2059204319857198","title":"Fine-grained Implicit Memory for Key and Tempo","year":2019,"lang":"en","type":"article","venue":"Music & Science","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Melody; Stimulus (psychology); Speech recognition; Semitone; Key (lock); Psychology; Computer science; Communication; Audiology; Cognitive psychology; Musical; Art","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000622261,0.0003298425,0.0003488391,0.0002497809,0.0002008775,0.0008923724,0.0005731504,0.0005318203,0.002881861],"category_scores_gemma":[0.002931695,0.0003074501,0.0001861482,0.00008431142,0.0008288307,0.001502787,0.0009942922,0.001000131,0.0005459103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673801,"about_ca_system_score_gemma":0.0002006469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005634589,"about_ca_topic_score_gemma":0.001064226,"domain_scores_codex":[0.9995638,0.00004277378,0.00005567368,0.0001606587,0.0001373553,0.00003973559],"domain_scores_gemma":[0.9971548,0.0007695496,0.0005417815,0.0008429037,0.0003890241,0.0003017859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008197155,0.0002079911,0.01530056,0.00008819329,0.00003690734,0.0000922266,0.0003816911,0.0002035714,0.9632142,0.0001605244,0.00004143016,0.01945313],"study_design_scores_gemma":[0.0001147052,0.005758432,0.5658694,0.00005642112,0.0001054585,0.001143267,0.0007228645,0.004353278,0.4188672,0.001385136,0.001518227,0.0001056488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968283,0.00009872529,0.002232494,0.00002007132,0.00001037009,0.000008200494,0.00002083188,0.00001850708,0.0007626287],"genre_scores_gemma":[0.9974095,0.00005838976,0.001398419,0.00003225314,0.000008880804,0.00001039712,0.00006498857,0.000008262738,0.001008892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881861,"threshold_uncertainty_score":0.009640753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04131579469958271,"score_gpt":0.2862338609227275,"score_spread":0.2449180662231447,"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."}}