{"id":"W4401837968","doi":"10.1038/s41467-024-51750-7","title":"An output-null signature of inertial load in motor cortex","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Azrieli Foundation; National Institutes of Health; U.S. Department of Health and Human Services; Case Western Reserve University; Emory University; National Institute of Neurological Disorders and Stroke; McKnight Foundation; Kavli Foundation","keywords":"Motor cortex; Forelimb; Neuroscience; Population; Rhythm; Central pattern generator; Cortex (anatomy); Computer science; Biology; Physics; Medicine; Stimulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144441,0.0002891132,0.0002775844,0.0003875607,0.0001340187,0.0002763646,0.0003676872,0.0005183339,0.001636916],"category_scores_gemma":[0.0005285096,0.0001333173,0.0001883778,0.0001266596,0.0005597141,0.0002303712,0.0004788355,0.0007805917,0.0002273525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741516,"about_ca_system_score_gemma":0.0001694854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004721486,"about_ca_topic_score_gemma":0.0005692407,"domain_scores_codex":[0.9998813,0.000006860227,0.000007501604,0.00002159077,0.00004656371,0.00003613105],"domain_scores_gemma":[0.9996147,0.00005844083,0.0001348095,0.00004011668,0.00003830772,0.0001137133],"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":[0.00009646321,0.00001700485,0.000405227,0.00001430704,0.000004736286,0.0001731326,0.00001249797,0.00006840801,0.9976573,0.00024016,0.00005468639,0.001256066],"study_design_scores_gemma":[0.00008590701,0.0005299739,0.1369724,0.00001736981,0.00003436996,0.001963692,0.00008432724,0.006311667,0.8504751,0.002228052,0.001271796,0.00002548776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930061,0.00009788384,0.005101206,0.0001982807,0.00002563579,0.000007621003,0.0002321736,0.0001805046,0.001150479],"genre_scores_gemma":[0.9965905,0.00005133741,0.001583151,0.0001189731,0.000009910509,0.00002237538,0.0002077128,0.00007370448,0.00134242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001636916,"threshold_uncertainty_score":0.005476058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984723480801285,"score_gpt":0.3139113262745997,"score_spread":0.2840640914665868,"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."}}