{"id":"W4296161379","doi":"10.1523/eneuro.0269-22.2022","title":"Ventrolateral Prefrontal Cortex Contributes to Human Motor Learning","year":2022,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; Government of Canada","keywords":"CTBS; Neuroscience; Psychology; Motor learning; Prefrontal cortex; Motor cortex; Stimulation; Supplementary motor area; Primary motor cortex; Cognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006137929,0.0001165074,0.000144036,0.00006747842,0.0008503534,0.000028229,0.0002497001,0.00001482749,0.0002589429],"category_scores_gemma":[0.00006904535,0.0001086004,0.00006129788,0.0001575325,0.00005464597,0.00005266464,0.0003422232,0.0003299026,0.00009041045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390887,"about_ca_system_score_gemma":0.000004706334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001285375,"about_ca_topic_score_gemma":0.000003043986,"domain_scores_codex":[0.998799,0.0001816705,0.0001446684,0.0004063871,0.000178718,0.0002895033],"domain_scores_gemma":[0.9997029,0.00005675336,0.00004412132,0.0001292177,0.000008931311,0.00005805037],"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":[0.00007002075,0.00008589436,0.0126099,0.000001024616,0.000002025709,0.0001379523,0.00009339788,0.00002928949,0.9848861,0.0001059119,0.001623039,0.0003554194],"study_design_scores_gemma":[0.001399801,0.002657144,0.5129158,0.00000496926,0.00002929433,0.0001073512,0.0001166703,0.00003825454,0.2841154,0.0003817617,0.1978318,0.0004016627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968051,0.00002259113,0.000002697652,0.001169194,0.0008422973,0.000226044,0.00002496477,0.0001332333,0.0007739351],"genre_scores_gemma":[0.9880701,0.000001393124,0.00000366759,0.003617804,0.00005508319,0.00009243635,0.000002699857,0.0000151087,0.008141749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7007707,"threshold_uncertainty_score":0.6540316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07401311504182724,"score_gpt":0.3460904691860997,"score_spread":0.2720773541442725,"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."}}