{"id":"W3113883771","doi":"10.1101/2020.03.17.995035","title":"Morphological and functional variability in central and subcentral motor cortex of the human brain","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; University of Oxford; Canadian Institutes of Health Research; National Institute for Health and Care Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; McGill University","keywords":"Central sulcus; Sulcus; Cortex (anatomy); Neuroscience; Context (archaeology); Superior temporal sulcus; Larynx; Anatomy; Biology; Human brain; Cerebral cortex; Brain morphometry; Morphology (biology); Motor cortex; Psychology; Medicine; Functional magnetic resonance imaging","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003583736,0.0002050609,0.0002351757,0.0009932341,0.000128336,0.0003246738,0.000149262,0.0001700158,0.00224831],"category_scores_gemma":[0.002546728,0.00009763707,0.0001067433,0.0006182495,0.0004160443,0.000244173,0.0003553119,0.00008337972,0.0001694053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087039,"about_ca_system_score_gemma":0.0001307253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288314,"about_ca_topic_score_gemma":0.003631046,"domain_scores_codex":[0.9997905,0.00004608709,0.00001853763,0.00008616758,0.00003927681,0.00001932547],"domain_scores_gemma":[0.9991215,0.0003281214,0.0001931397,0.000180658,0.0001315644,0.00004495034],"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":[0.001533458,0.00006595553,0.2174545,0.0005099631,0.0003439744,0.001400421,0.004528112,0.002171018,0.665539,0.001570985,0.001155298,0.1037273],"study_design_scores_gemma":[0.000008044634,0.00006994878,0.9882175,0.00001003416,0.00003138585,0.001390511,0.0002695497,0.001311839,0.00733812,0.0008056719,0.0005367336,0.00001070324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963319,0.0001539456,0.002375746,0.00001531416,0.000002193706,0.0000224939,0.0003406288,0.0000456772,0.0007123311],"genre_scores_gemma":[0.9984558,0.00003890777,0.00111643,0.000004388866,0.000002330007,0.0000194508,0.0001656812,0.00001869192,0.0001783531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00224831,"threshold_uncertainty_score":0.007521391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233124870192624,"score_gpt":0.22987317123551,"score_spread":0.1975419225335838,"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."}}