{"id":"W2127108102","doi":"","title":"Configural processing in melody recognition","year":2002,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Melody; Speech recognition; Perception; Representation (politics); Computer science; Pattern recognition (psychology); Psychology; Artificial intelligence; Neuroscience; Musical","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008093397,0.0004002751,0.0005477267,0.000988856,0.0008741394,0.004903609,0.00200709,0.001512523,0.007262028],"category_scores_gemma":[0.004431332,0.0006852996,0.0005712836,0.001727786,0.002896168,0.006685276,0.001238154,0.001544956,0.001246035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839887,"about_ca_system_score_gemma":0.0004850735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316338,"about_ca_topic_score_gemma":0.002664106,"domain_scores_codex":[0.999313,0.0001130433,0.00003203593,0.0003103559,0.0001441748,0.00008744769],"domain_scores_gemma":[0.9987056,0.0005004667,0.0001956635,0.000256969,0.0002251961,0.0001160186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007269009,0.0001519492,0.01153466,0.0004769461,0.0001175317,0.001254076,0.005004579,0.006687973,0.1011448,0.520669,0.00649142,0.3457401],"study_design_scores_gemma":[0.00009187184,0.0001612815,0.06033756,0.0001389101,0.00005544294,0.001645287,0.0008988556,0.03354409,0.01212418,0.8804789,0.01029658,0.0002270775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5436242,0.01516119,0.2842029,0.005546831,0.001068205,0.0001470966,0.0008159313,0.0007314031,0.1487022],"genre_scores_gemma":[0.9532773,0.001995402,0.03521931,0.0005612887,0.0003842077,0.00007834806,0.0004957874,0.0001850397,0.007803327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007262028,"threshold_uncertainty_score":0.0242939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08550239050652406,"score_gpt":0.2583347789924144,"score_spread":0.1728323884858904,"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."}}