{"id":"W2047987389","doi":"10.1097/wnr.0b013e3283036ea0","title":"Low-threshold afferent signalling of viscous loads during voluntary movements of the human digits","year":2008,"lang":"en","type":"article","venue":"Neuroreport","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Medical Research Council; National Health and Medical Research Council; University of New South Wales","keywords":"Afferent; SIGNAL (programming language); Viscosity; Population; Physics; Sensory system; Neuroscience; Central nervous system; Chemistry; Turnover; Mechanics; Control theory (sociology); Mathematics; Medicine; Biology; Computer science; Thermodynamics","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":[0.000303215,0.0001698193,0.00018135,0.0001938664,0.0001071825,0.0002606135,0.00008140941,0.0002812567,0.001144682],"category_scores_gemma":[0.002345233,0.0001295677,0.00007584304,0.00007768495,0.000211136,0.000239264,0.0003047873,0.0001914034,0.0001410332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009382522,"about_ca_system_score_gemma":0.00006614997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001829994,"about_ca_topic_score_gemma":0.0003509315,"domain_scores_codex":[0.9998918,0.00002462387,0.000009515466,0.00002180471,0.00003431036,0.00001797768],"domain_scores_gemma":[0.9995288,0.0002558534,0.00007781523,0.00003069657,0.0000539396,0.00005297178],"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":[0.0008069039,0.00003952517,0.01616577,0.0001041655,0.000009455161,0.0002038926,0.0002699199,0.0001869033,0.9595304,0.00006780651,0.00003504656,0.02258021],"study_design_scores_gemma":[0.00005166263,0.001098428,0.9179451,0.00004951092,0.00004080533,0.001594968,0.0003108929,0.002785275,0.07527307,0.0005481751,0.0002844576,0.00001752671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998785,0.00009323843,0.0008840945,0.00001231747,0.000002146465,0.000003944856,0.00001201615,0.000003487694,0.0002037937],"genre_scores_gemma":[0.9990249,0.00006849466,0.0006142794,0.00001649887,0.000003840969,0.000005466146,0.00001832859,0.00000226865,0.0002458933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144682,"threshold_uncertainty_score":0.0038293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501338430349133,"score_gpt":0.2083713977804074,"score_spread":0.1933580134769161,"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."}}