{"id":"W1483009182","doi":"10.1002/9780470515563.ch10","title":"Cortical Control of Whole‐Arm Motor Tasks","year":2007,"lang":"en","type":"review","venue":"Novartis Foundation symposium","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Premotor cortex; Primary motor cortex; Neuroscience; Motor cortex; Computer science; Sensory system; Task (project management); Movement (music); Motor control; Posterior parietal cortex; Isometric exercise; Supplementary motor area; Action (physics); Psychology; Biology; Functional magnetic resonance imaging; Anatomy; Physics; Dorsum","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005923623,0.0004342471,0.001346337,0.0003795886,0.000159762,0.0001181043,0.0004017465,0.0003536032,0.0004958136],"category_scores_gemma":[0.0006279706,0.0003771554,0.0004952858,0.0005725449,0.0002049856,0.0002842547,0.00004945031,0.0004560077,0.0009174062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451384,"about_ca_system_score_gemma":0.0002891149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001765074,"about_ca_topic_score_gemma":0.000005136188,"domain_scores_codex":[0.9962881,0.0004163045,0.001432125,0.0006997319,0.0007294079,0.000434381],"domain_scores_gemma":[0.9971711,0.0009882841,0.0009722118,0.0005225909,0.0001817538,0.0001640265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007131423,0.0002747647,0.000002387676,0.002396853,0.00004957427,0.00002210442,0.00006005429,0.000005213383,0.03088663,0.0104375,0.00006547588,0.9557281],"study_design_scores_gemma":[0.0007670335,0.0002097069,0.00001569996,0.0009402643,0.0003725516,0.00003864729,0.000003075708,0.0004586446,0.000223701,0.0000722045,0.9965661,0.0003324257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007028397,0.8783237,0.1007134,0.0004602365,0.00402953,0.005105789,0.0005371529,0.0003651413,0.0103947],"genre_scores_gemma":[0.01413571,0.9817771,0.0001900018,0.0004728348,0.0006837479,0.0002116408,0.0001641208,0.0001028253,0.002262016],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9965006,"threshold_uncertainty_score":0.999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08246788144689902,"score_gpt":0.3478228758404942,"score_spread":0.2653549943935951,"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."}}