{"id":"W2944524911","doi":"","title":"HOW BIOMECHANICS CAN IMPROVE SPORTS PERFORMANCE","year":2011,"lang":"en","type":"article","venue":"Expomotricidad","topic":"Sports Performance and Training","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Biomechanics; Sports biomechanics; Computer science; Physical medicine and rehabilitation; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609287,0.0002025922,0.0002782587,0.00025019,0.0000937097,0.00002033148,0.0001062231,0.0001153837,0.0002237974],"category_scores_gemma":[0.00001660514,0.0001689392,0.00009358644,0.000415895,0.00004298445,0.0002040533,0.00003581854,0.0002327028,0.0000376451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004763718,"about_ca_system_score_gemma":0.00009990828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113388,"about_ca_topic_score_gemma":0.000002445643,"domain_scores_codex":[0.9987059,0.00000249627,0.0002182958,0.0003026921,0.0003362967,0.0004343089],"domain_scores_gemma":[0.999137,0.000003833934,0.0001543709,0.0004257245,0.00008788692,0.0001911513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000290108,0.0003556348,0.4303189,0.0001906148,0.00009278354,0.0007726186,0.004574798,2.15062e-7,0.01087244,0.0004876489,0.0005001448,0.5515441],"study_design_scores_gemma":[0.003611831,0.002231269,0.4255841,0.0002335548,0.0002434888,0.0007580738,0.002042247,0.001330639,0.5380799,0.0001979157,0.02483001,0.0008569833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827667,0.0001599432,0.0001474194,0.0001980831,0.0005833239,0.0002677152,0.000003113395,0.0001742533,0.01569947],"genre_scores_gemma":[0.9940926,0.0001430845,0.00144762,0.0004550648,0.0003083758,0.00002343687,0.000021044,0.00003885461,0.003469863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5506871,"threshold_uncertainty_score":0.6889142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322150739994939,"score_gpt":0.2238380681068569,"score_spread":0.1906165607069076,"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."}}