{"id":"W2087230843","doi":"10.1055/s-2000-8850","title":"Joint Excursion, Handle Velocity, and Applied Force: a Biomechanical Analysis of Ergonometric Rowing","year":2000,"lang":"en","type":"article","venue":"International Journal of Sports Medicine","topic":"Sports Performance and Training","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Rowing; Kinematics; Jerk; Excursion; Physical medicine and rehabilitation; Joint (building); Stroke (engine); Biomechanics; Displacement (psychology); Mathematics; Knee Joint; Simulation; Motion analysis; Physical therapy; Medicine; Acceleration; Computer science; Engineering; Physics; Structural engineering; Surgery; Psychology; Anatomy; Mechanical engineering","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":[0.0003217223,0.000392533,0.0002693998,0.0006035604,0.0002399944,0.0002480039,0.0001497734,0.0002783246,0.0008535912],"category_scores_gemma":[0.000873272,0.000230111,0.0001433882,0.0002398114,0.0003264041,0.0002289793,0.0002253626,0.000135905,0.0002137534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003228,"about_ca_system_score_gemma":0.0001091372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278203,"about_ca_topic_score_gemma":0.00200546,"domain_scores_codex":[0.9998115,0.00005794554,0.00001622373,0.00004095641,0.00003453453,0.00003893512],"domain_scores_gemma":[0.9995539,0.0001025309,0.0001559325,0.00004229241,0.00007612445,0.00006921079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001247165,0.0005962738,0.8357515,0.0001345021,0.0001211335,0.0007392105,0.0009437499,0.0007466951,0.129957,0.00004869858,0.0001070991,0.02960682],"study_design_scores_gemma":[0.000004160584,0.0009073085,0.9961435,0.000004729506,0.00001252846,0.0005737927,0.0002427139,0.0002586723,0.001725595,0.00001546155,0.000106481,0.000005045539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996532,0.00002849655,0.0002208525,0.000002549621,7.465529e-7,0.000003875244,0.00001237707,0.000001655653,0.00007627541],"genre_scores_gemma":[0.9991152,0.00005199267,0.0003964423,0.000007297892,0.000004556554,0.000007498423,0.00008890152,0.000003043044,0.0003251365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001278203,"threshold_uncertainty_score":0.002855599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133032758986024,"score_gpt":0.2904138772442431,"score_spread":0.2690835496543829,"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."}}