{"id":"W1963666329","doi":"10.1007/s00360-008-0289-1","title":"Motor unit recruitment for dynamic tasks: current understanding and future directions","year":2008,"lang":"en","type":"review","venue":"Journal of Comparative Physiology B","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Motor unit; Motor unit recruitment; Task (project management); Neuroscience; Psychology; Motor system; Motor control; Movement (music); Computer science; Physical medicine and rehabilitation; Selection (genetic algorithm); Cognitive psychology; Engineering; Electromyography; Artificial intelligence; Medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001983557,0.001347195,0.003957555,0.001827937,0.0003640479,0.002257059,0.001957494,0.001839883,0.003787529],"category_scores_gemma":[0.002297401,0.000482841,0.0007132381,0.002380896,0.001453337,0.00327959,0.0008162432,0.00169583,0.002667608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068194,"about_ca_system_score_gemma":0.002049915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246789,"about_ca_topic_score_gemma":0.002299391,"domain_scores_codex":[0.9996279,0.00004544406,0.00006535544,0.0001415286,0.00009078334,0.00002893627],"domain_scores_gemma":[0.9979619,0.001287415,0.0002063733,0.00006105062,0.0004024467,0.0000807523],"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":[0.0001589946,0.00009999797,0.0005359123,0.01226,0.0001019735,0.0001695581,0.00006929617,0.000290967,0.002345552,0.001959943,0.00557799,0.9764298],"study_design_scores_gemma":[0.0001151072,0.0008948094,0.01344596,0.01526508,0.0008781476,0.006273669,0.0008500319,0.001325556,0.004063395,0.01795015,0.9387531,0.0001848217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002798977,0.9981129,0.0006027984,0.000333731,0.0001098017,0.000004396851,0.00001420453,0.00001053043,0.0005317988],"genre_scores_gemma":[0.001546828,0.9968079,0.0008574817,0.0001767827,0.0002003757,0.00001321999,0.00002832699,0.000002773678,0.0003663679],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003957555,"threshold_uncertainty_score":0.01267052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2100268093045115,"score_gpt":0.393608139159729,"score_spread":0.1835813298552175,"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."}}