{"id":"W1987011372","doi":"10.1523/jneurosci.0132-11.2011","title":"Descending Corticospinal Control of Intersegmental Dynamics","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Transcranial magnetic stimulation; Elbow; Torque; Physical medicine and rehabilitation; Motor cortex; Corticospinal tract; Motor control; Psychology; Computer science; Neuroscience; Stimulation; Anatomy; Physics; Medicine; 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":[0.000146464,0.0003666182,0.0001827891,0.0001677025,0.0001253405,0.000240717,0.0001531598,0.0001367625,0.001191226],"category_scores_gemma":[0.0006496276,0.0000912121,0.00008781488,0.00009642792,0.0002309355,0.0001270949,0.0002202186,0.0002114232,0.0001762154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104813,"about_ca_system_score_gemma":0.000232725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337541,"about_ca_topic_score_gemma":0.003285245,"domain_scores_codex":[0.9999322,0.00001319494,0.000005120083,0.00002017641,0.00001563709,0.0000136884],"domain_scores_gemma":[0.9998137,0.00005580041,0.00004313641,0.00001880092,0.00003560528,0.00003289206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003490846,0.00004432124,0.005148238,0.0001074286,0.00003869921,0.0002602004,0.0001525396,0.001599601,0.965933,0.0003463457,0.0001200669,0.02590052],"study_design_scores_gemma":[0.0001390737,0.0009736961,0.8389677,0.00006263259,0.0001036985,0.001116045,0.0002630737,0.02534316,0.1271155,0.003411368,0.002468901,0.00003499793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826005,0.0007701024,0.01410897,0.00008670524,0.00001601639,0.00003970852,0.00007591723,0.0001014606,0.002200566],"genre_scores_gemma":[0.9981043,0.0002171103,0.0009774725,0.00001395413,0.000005946329,0.00001789778,0.00003357333,0.00000636705,0.0006233269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002337541,"threshold_uncertainty_score":0.004647791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060657999692111,"score_gpt":0.2654643757803141,"score_spread":0.2048063760882031,"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."}}