{"id":"W2106740306","doi":"10.1093/cercor/bhu124","title":"Parcellation of Human and Monkey Core Auditory Cortex with fMRI Pattern Classification and Objective Detection of Tonotopic Gradient Reversals","year":2014,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; McGill University; Université de Montréal; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Wellcome Trust; Volkswagen Foundation; National Centre for the Replacement, Refinement and Reduction of Animals in Research; University of Nottingham","keywords":"Tonotopy; Auditory cortex; Neuroscience; Functional magnetic resonance imaging; Gyrus; Human brain; Neuroimaging; Functional neuroimaging; Core (optical fiber); Computer science; Psychology","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":[0.0003588267,0.0001403656,0.000141138,0.0004341483,0.0001280138,0.0003268621,0.0001380825,0.0002759245,0.0004648137],"category_scores_gemma":[0.001510793,0.0001326026,0.0001093106,0.0001526013,0.0003043259,0.0002307198,0.000178407,0.000149864,0.0001307547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425949,"about_ca_system_score_gemma":0.0001197348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001512423,"about_ca_topic_score_gemma":0.002905634,"domain_scores_codex":[0.9998728,0.00002887837,0.000006060044,0.00005031493,0.00002066296,0.00002122964],"domain_scores_gemma":[0.9997638,0.00009607987,0.00004439412,0.00004310588,0.0000297498,0.00002284207],"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":[0.0002757148,0.00003911172,0.01131725,0.00004915802,0.00002387933,0.00007084063,0.0003056295,0.0004116437,0.9470471,0.0002511916,0.0001689911,0.04003951],"study_design_scores_gemma":[0.00005573666,0.0004620557,0.787127,0.00001683775,0.0000694904,0.001697871,0.0002627299,0.03418353,0.1731421,0.001603388,0.001346617,0.00003263653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839181,0.000184824,0.01460131,0.00005494816,0.000006951077,0.00002242047,0.00008777676,0.00007444993,0.00104929],"genre_scores_gemma":[0.987552,0.00005995691,0.01183458,0.00004115668,0.000009583568,0.00003009359,0.00009707404,0.00002840755,0.0003470791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001512423,"threshold_uncertainty_score":0.003007233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412556375090059,"score_gpt":0.2405138126526062,"score_spread":0.2163882489017056,"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."}}