{"id":"W2125059316","doi":"10.1109/tnsre.2010.2047586","title":"A Split-Crank Bicycle Ergometer Uses Servomotors to Provide Programmable Pedal Forces for Studies in Human Biomechanics","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; Rehabilitation Research and Development Service; Ohio State University","keywords":"Crank; Kinematics; Biomechanics; Servomotor; Engineering; Work (physics); Crankshaft; Simulation; Servo; Software; Electromyography; Computer science; Mechanical engineering; Physical medicine and rehabilitation; Medicine","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":[0.0002705065,0.000493697,0.000618398,0.0006189455,0.0002040659,0.0003539365,0.0005868912,0.0003836636,0.002706452],"category_scores_gemma":[0.0006623397,0.0004016348,0.0002094896,0.0002993511,0.0002185119,0.0002741343,0.0004339754,0.0002429953,0.0006631526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611622,"about_ca_system_score_gemma":0.0003882665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173963,"about_ca_topic_score_gemma":0.002952811,"domain_scores_codex":[0.9997,0.00003791224,0.00001972976,0.00008152039,0.0001393149,0.0000215948],"domain_scores_gemma":[0.9995595,0.0001995405,0.00003636083,0.00004496361,0.0001106899,0.00004896876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001669197,0.0004305949,0.01389849,0.0009604074,0.0001221085,0.0002018466,0.0001665388,0.001494444,0.6416247,0.0006492248,0.002427981,0.3363544],"study_design_scores_gemma":[0.002082731,0.01549088,0.4099344,0.0005184789,0.0008226757,0.008516275,0.0002783809,0.05541724,0.4179885,0.001223303,0.08725209,0.0004750179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588195,0.002608105,0.3949645,0.0002832981,0.0002423451,0.000985831,0.001625834,0.002855539,0.008239632],"genre_scores_gemma":[0.7897407,0.001437181,0.1982044,0.0003328983,0.0001047216,0.0006968103,0.001031166,0.0001767131,0.008275459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002706452,"threshold_uncertainty_score":0.009053946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455366061891991,"score_gpt":0.3092959458961612,"score_spread":0.2847422852772413,"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."}}