{"id":"W2141485103","doi":"10.1016/s1050-6411(02)00026-3","title":"Changes in kinematic and EMG variability while practicing a maximal performance task","year":2002,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Biceps; Kinematics; Standard deviation; Electromyography; Physical medicine and rehabilitation; Elbow; Elbow flexion; Mathematics; Angular displacement; Motor control; Balance (ability); Medicine; Geodesy; Anatomy; Physics; Geology; Statistics; Geometry","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":[0.0004745925,0.00009925023,0.000256887,0.0002901543,0.00007109567,0.00002034837,0.0000710644,0.00005974903,0.00002878848],"category_scores_gemma":[0.0004228687,0.00007436892,0.00003534144,0.0002738961,0.00008708123,0.000224038,0.0000147326,0.0002453921,3.556561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007831965,"about_ca_system_score_gemma":0.000008968161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004651624,"about_ca_topic_score_gemma":0.00001047938,"domain_scores_codex":[0.9990076,0.0002293189,0.0002857632,0.0001655453,0.00009829241,0.0002134247],"domain_scores_gemma":[0.9991452,0.000413581,0.0002773736,0.0000676539,0.00003924797,0.00005700412],"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":[0.000260983,0.0001724492,0.02611585,0.0001026022,0.0000119872,0.00004192482,0.0005006369,0.00001978576,0.9524584,0.0006370417,0.00002490472,0.01965347],"study_design_scores_gemma":[0.003192191,0.005452788,0.9532958,0.0001465436,0.00008529372,0.001621051,0.00006352976,0.02043394,0.00743034,0.006746442,0.001179646,0.0003524633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975796,0.0003390351,0.0001745537,0.001554505,0.00007024947,0.0001011355,7.992599e-7,0.000005789771,0.0001743096],"genre_scores_gemma":[0.9975238,0.001531343,0.0002967151,0.0005503201,0.00007678109,0.000005061899,1.228682e-7,0.000004545024,0.00001129089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945028,"threshold_uncertainty_score":0.3032677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372331930682239,"score_gpt":0.227607497428689,"score_spread":0.2038841781218666,"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."}}