{"id":"W7104471431","doi":"10.71781/17903","title":"Mesurer les habiletés de la population générale à percevoir et à se synchroniser à la pulsation musicale avec le Montreal – Beat Alignment Test (M-BAT)","year":2017,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Statistical analysis; Perception; Ile de france","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002079139,0.0009051136,0.0005799245,0.001550852,0.0005063748,0.000936409,0.0005250561,0.0007718726,0.008435669],"category_scores_gemma":[0.006890431,0.0002692316,0.0005243722,0.0005611625,0.000593591,0.0007496343,0.0008681476,0.000684745,0.001424311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004682055,"about_ca_system_score_gemma":0.0004921153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613537,"about_ca_topic_score_gemma":0.02072691,"domain_scores_codex":[0.9989888,0.0001825405,0.00009451238,0.0002208702,0.0003513242,0.0001618824],"domain_scores_gemma":[0.9972329,0.0008176165,0.0005800673,0.0001818131,0.0009063551,0.0002813695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001503471,0.0007695812,0.8162964,0.0007669908,0.0005677968,0.0008657545,0.009218098,0.0007144294,0.01891756,0.0004319945,0.004581405,0.1453665],"study_design_scores_gemma":[0.00004388904,0.0008637502,0.9921177,0.00007402615,0.00007641752,0.0005401369,0.001614276,0.0005147251,0.001405593,0.0001981989,0.002507775,0.00004347857],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888193,0.0008252636,0.002565403,0.000185469,0.00005828311,0.0003301755,0.0008112706,0.00008775971,0.006317109],"genre_scores_gemma":[0.9861162,0.0007838169,0.002814985,0.0001495672,0.00003437145,0.0005829167,0.0008407435,0.00002195338,0.008655662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01613537,"threshold_uncertainty_score":0.03208292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022995645388444,"score_gpt":0.2291358112069451,"score_spread":0.2189058547530607,"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."}}