{"id":"W2159553223","doi":"10.1111/j.1749-6632.2009.04557.x","title":"Music Lexical Networks","year":2009,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Planum temporale; Psychology; Functional magnetic resonance imaging; Cognitive psychology; Musical; Singing; Inferior frontal gyrus; Communication; Neuroscience; Art; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422055,0.0001198141,0.0001872168,0.00009885446,0.000311348,0.00003493709,0.001538159,0.00008700119,0.00004602988],"category_scores_gemma":[0.0003338612,0.00007509877,0.0001510674,0.001390693,0.001432948,0.0003732192,0.0001079098,0.0002297674,0.000008815265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003480322,"about_ca_system_score_gemma":0.00006379557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535912,"about_ca_topic_score_gemma":6.644663e-7,"domain_scores_codex":[0.9980502,0.0001026637,0.0003213792,0.0004121292,0.0007270486,0.0003865505],"domain_scores_gemma":[0.999349,0.0001356882,0.000260228,0.0001306731,0.00001291528,0.000111516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001723585,0.00006389125,0.00008505139,0.000002768247,5.730262e-7,1.991521e-7,0.0002263879,0.001496427,0.9174092,0.01631144,0.03515015,0.02923671],"study_design_scores_gemma":[0.0001680141,0.0003747428,0.0502921,0.0000962463,0.000008029385,0.00001789395,0.00006469886,0.002467081,0.8933672,0.04292461,0.010027,0.0001923255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630795,0.0001111005,0.0001117838,0.03151027,0.0003102019,0.0001683616,0.000002078475,0.0000319404,0.004674823],"genre_scores_gemma":[0.9745777,0.0001566223,0.00007706273,0.02444682,0.0001794536,7.426286e-7,2.787384e-8,0.000002905104,0.0005586612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05020706,"threshold_uncertainty_score":0.5279756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996055962480825,"score_gpt":0.3682628256435579,"score_spread":0.1686572293954754,"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."}}