{"id":"W2418227803","doi":"10.1016/j.cortex.2016.05.016","title":"Music and words in the visual cortex: The impact of musical expertise","year":2016,"lang":"en","type":"article","venue":"Cortex","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal","funders":"Institute of Research and Development in Structures and Construction; Agence Nationale de la Recherche","keywords":"Psychology; Musical notation; Visual cortex; Cognitive psychology; Musical; Cognitive neuroscience of music; Cortex (anatomy); Neuroscience; Auditory cortex; Communication; Visual arts; Art","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":[0.0002227661,0.0001033035,0.0001113298,0.00005530422,0.0001027877,0.00003559358,0.0003161746,0.00003319584,0.000130837],"category_scores_gemma":[0.0003125017,0.00003997437,0.00006363347,0.0003208999,0.0005426063,0.0001880028,0.00007687783,0.00009409418,0.00002193863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002511004,"about_ca_system_score_gemma":0.00004649263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006793159,"about_ca_topic_score_gemma":0.00003127449,"domain_scores_codex":[0.9988891,0.0001502068,0.0001653337,0.000307011,0.0002538959,0.0002343876],"domain_scores_gemma":[0.9993057,0.0002846413,0.00006134139,0.0002903453,0.00001157788,0.00004639002],"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":[0.00002396202,0.00007366038,0.0009348443,0.000001111559,3.773227e-7,0.00001252086,0.001900089,4.17212e-7,0.9645008,0.0001437039,0.000558755,0.03184979],"study_design_scores_gemma":[0.0004276114,0.0003218868,0.9913176,0.00002470804,0.000004318162,0.00007554374,0.0002671469,0.0006278923,0.006214514,0.0003166722,0.000303968,0.00009812409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984968,0.00000856367,0.00008949323,0.000386582,0.0001723483,0.0001999883,0.000004817453,0.00001444253,0.0006270112],"genre_scores_gemma":[0.9985254,0.00006301189,0.000001377893,0.001191088,0.00007607073,0.00001715327,1.417002e-7,0.000006679197,0.0001191213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903828,"threshold_uncertainty_score":0.1999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820681435287338,"score_gpt":0.3341328371947143,"score_spread":0.2859260228418409,"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."}}