{"id":"W2745177791","doi":"10.1016/j.cortex.2017.08.002","title":"Role of medial premotor areas in action language processing in relation to motor skills","year":2017,"lang":"en","type":"article","venue":"Cortex","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Réseau en Bio-Imagerie du Quebec; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"SMA*; Psychology; Supplementary motor area; Transcranial magnetic stimulation; Action (physics); Cognitive psychology; Premotor cortex; Cognition; Motor skill; Motor imagery; Motor area; Task (project management); Neuroscience; Stimulation; Computer science; Functional magnetic resonance imaging; Electroencephalography","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":[0.0002469466,0.0003215561,0.000209008,0.0004321999,0.0002749494,0.0006359108,0.000213076,0.0004008317,0.005606643],"category_scores_gemma":[0.001827826,0.0003044048,0.0002003423,0.0003696867,0.0005692054,0.0008234535,0.0004368611,0.0004747802,0.0003702749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652849,"about_ca_system_score_gemma":0.000457244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757751,"about_ca_topic_score_gemma":0.003676922,"domain_scores_codex":[0.9998823,0.00001706662,0.000006592938,0.00004030457,0.00002313561,0.00003059092],"domain_scores_gemma":[0.999252,0.0003728756,0.0001860063,0.00005065904,0.00004903888,0.00008930486],"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":[0.002046901,0.0001602522,0.02338799,0.0002353694,0.000110323,0.0007860728,0.001032918,0.001344635,0.9010949,0.008600045,0.0006227036,0.06057785],"study_design_scores_gemma":[0.0001542823,0.0004437826,0.9304878,0.00005990533,0.00008008241,0.0009964884,0.0004193199,0.006878255,0.04903346,0.009778,0.00164798,0.00002071954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702584,0.001208731,0.01614557,0.0005488741,0.00008232614,0.0000477701,0.0004335627,0.0001160919,0.01115856],"genre_scores_gemma":[0.9944339,0.0003026459,0.002542347,0.00006948181,0.00004181812,0.00003193459,0.0001274886,0.00004972555,0.002400553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005606643,"threshold_uncertainty_score":0.01875609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380632414941271,"score_gpt":0.3438878967359349,"score_spread":0.3200815725865222,"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."}}