{"id":"W2136932306","doi":"10.1016/s0304-3940(01)02105-x","title":"Quantitative evidence for multiple widespread representations of individual muscles in the cat motor cortex","year":2001,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Forelimb; Motor cortex; Anatomy; Neuroscience; Biology; Spinal cord; Isometric exercise; Situated; Cortex (anatomy); Electromyography; Stimulation; Physiology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001880987,0.00007946892,0.00008923567,0.0001442857,0.00009515,0.00003376249,0.0002974615,0.00001432522,0.000001400525],"category_scores_gemma":[0.00061951,0.00006430857,0.00004825966,0.0006214036,0.0001530375,0.0002858313,0.00001529748,0.00006510255,2.974955e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001212351,"about_ca_system_score_gemma":0.000006973161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004292165,"about_ca_topic_score_gemma":0.00006152,"domain_scores_codex":[0.9992199,0.00003819791,0.0001635811,0.0001659879,0.000217456,0.0001948594],"domain_scores_gemma":[0.9987624,0.001001885,0.00004081562,0.0001548153,0.00002240951,0.00001771146],"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":[0.00001824305,0.00002299714,0.03107593,0.0000172668,0.000004084385,0.000002481303,0.00219509,0.00221927,0.9606583,0.0001205138,0.001990826,0.00167499],"study_design_scores_gemma":[0.0001877178,0.00008345833,0.9865464,0.00002690389,0.000007092674,0.000002866718,0.0006472634,0.007675511,0.004267424,0.00003513227,0.0004358309,0.00008442407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908301,0.00003841587,0.006177489,0.002323272,0.0001899506,0.0003494748,0.0000106395,0.00003892822,0.00004176336],"genre_scores_gemma":[0.997359,0.00008630339,0.0006976445,0.001717807,0.00001493942,0.0001129251,0.000001358884,0.000006606268,0.000003402889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9563909,"threshold_uncertainty_score":0.2622427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08986824542958796,"score_gpt":0.3220616095806203,"score_spread":0.2321933641510323,"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."}}