{"id":"W2522372122","doi":"10.1111/cogs.12411","title":"Exploring Cognitive Relations Between Prediction in Language and Music","year":2016,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Cognitive psychology; Cognition; Psychology; Musical; Computer science; Cognitive science","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":[0.0005050711,0.0001096526,0.00009911063,0.000401583,0.0003658706,0.00007026068,0.0001596245,0.00002524303,0.00007719255],"category_scores_gemma":[0.003810637,0.00008269638,0.00001871353,0.001291118,0.001559711,0.002681596,0.0001333181,0.0001171534,0.0001854805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006328853,"about_ca_system_score_gemma":0.00009229059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237975,"about_ca_topic_score_gemma":0.00001157848,"domain_scores_codex":[0.9982668,0.00008639912,0.0001682384,0.0007140265,0.000396172,0.000368354],"domain_scores_gemma":[0.9989941,0.0006484205,0.00005853011,0.00009736419,0.00007186499,0.0001297321],"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":[0.00000844577,0.00001969361,0.02054193,0.00000190393,2.339208e-7,0.00001115938,0.002436691,1.182949e-7,0.8902184,0.0001626698,0.000004079732,0.08659471],"study_design_scores_gemma":[0.0005336179,0.00008980371,0.777049,0.0002365452,0.000007044193,0.00001105555,0.001668419,0.0000430295,0.2199428,0.0002766424,0.00001718743,0.0001248495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928073,0.000004949267,0.001917594,0.0001404196,0.0002279545,0.0002637978,0.00007508467,0.00007131328,0.004491634],"genre_scores_gemma":[0.9992417,0.00003080252,0.00001526698,0.0002688144,0.00008012961,0.00006158542,8.615968e-7,0.000007273269,0.0002936247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7565071,"threshold_uncertainty_score":0.574682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19515184318653,"score_gpt":0.3251197090196021,"score_spread":0.129967865833072,"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."}}