{"id":"W2005953046","doi":"10.1016/j.jelekin.2014.08.016","title":"Muscle strategies for leg extensions on a “Reformer” apparatus","year":2014,"lang":"en","type":"article","venue":"Journal of Electromyography and Kinesiology","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Kinematics; Hip flexion; Computer science; Bar (unit); Physical medicine and rehabilitation; Simulation; Physical therapy; Medicine; Range of motion; 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":[0.0006743483,0.0004321699,0.0002817932,0.0004137657,0.0003737122,0.0003685643,0.0004638678,0.0004718798,0.004404608],"category_scores_gemma":[0.001361614,0.0001916888,0.0003647649,0.0001200894,0.0004690078,0.0005598249,0.0006513955,0.0003557432,0.0007463585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009561529,"about_ca_system_score_gemma":0.0001384022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612531,"about_ca_topic_score_gemma":0.0002379495,"domain_scores_codex":[0.9997811,0.00006909895,0.00002348876,0.00004623731,0.00003742412,0.00004273668],"domain_scores_gemma":[0.9995964,0.0001838335,0.00003409749,0.00009674265,0.00004384472,0.00004510069],"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":[0.004245676,0.0003319602,0.003809725,0.0002855766,0.0000801083,0.0006645754,0.001121746,0.00831219,0.8614456,0.008113097,0.0005269108,0.1110628],"study_design_scores_gemma":[0.0007436742,0.02438522,0.1238024,0.0005116035,0.0004381744,0.003596762,0.002285173,0.1828259,0.6177351,0.01081154,0.03262195,0.0002425142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631662,0.0001646825,0.03149318,0.0001121609,0.00004541477,0.0001253443,0.0000442389,0.0000945171,0.00475428],"genre_scores_gemma":[0.9896047,0.00007577877,0.007348522,0.00003444321,0.00001633613,0.00003886813,0.00005424457,0.00002745172,0.002799792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004404608,"threshold_uncertainty_score":0.01473486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009424123508617984,"score_gpt":0.2237337793835422,"score_spread":0.2143096558749242,"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."}}