{"id":"W2086957756","doi":"10.1006/brcg.1999.1182","title":"Toward a Biological Account of Music Experience","year":2000,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Psychology; Support vector machine; Auditory cortex; Perception; Speech recognition; Pattern recognition (psychology); Tonality; Cognition; Cognitive psychology; Rhythm; Naive Bayes classifier; Artificial intelligence; Computer science; Musical; Neuroscience","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":[0.0005742922,0.0003702418,0.0002974365,0.0008499719,0.0007080852,0.002825154,0.0009804803,0.001621283,0.005227966],"category_scores_gemma":[0.001277909,0.0002714433,0.0003524349,0.000357587,0.004605576,0.004742784,0.001362106,0.001284631,0.000675715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007207656,"about_ca_system_score_gemma":0.0006965565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252468,"about_ca_topic_score_gemma":0.001018787,"domain_scores_codex":[0.9998229,0.00005242757,0.000008365228,0.00004340905,0.00005131644,0.00002152015],"domain_scores_gemma":[0.9997125,0.0001100143,0.00003009936,0.00004930496,0.00005635757,0.00004165986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001975959,0.00001588764,0.0008866378,0.00005033498,0.00001993558,0.00008333167,0.0006202987,0.002116521,0.002623664,0.9792334,0.001241353,0.01308886],"study_design_scores_gemma":[0.00001112787,0.00001420086,0.001932824,0.0000164951,0.00000954411,0.0001003253,0.0002696833,0.005778104,0.0003635547,0.9822404,0.009252257,0.0000115371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09562968,0.01010149,0.4998913,0.04775229,0.001340684,0.00006734359,0.0004317637,0.000558841,0.3442266],"genre_scores_gemma":[0.9445326,0.002326157,0.03969853,0.002061732,0.0007169626,0.00009568061,0.0001135862,0.00008502879,0.0103697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005227966,"threshold_uncertainty_score":0.01748925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07493087232682503,"score_gpt":0.2671043162764866,"score_spread":0.1921734439496615,"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."}}