{"id":"W2327844449","doi":"10.1249/01.mss.0000401908.60047.72","title":"Temporal Changes in Female Lower Body Running Mechanics during a Simulated 10 km Race","year":2011,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Treadmill; Kinematics; Mathematics; Base (topology); Differential effects; Medicine; Simulation; Physics; Physical therapy; Computer science; Internal medicine; Mathematical analysis","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":[0.0001601213,0.0001740564,0.000217007,0.0001786794,0.0001124765,0.0001478932,0.0000928584,0.0001556553,0.001542851],"category_scores_gemma":[0.0003690771,0.00008405693,0.00009559861,0.00006658712,0.00009446568,0.00007054644,0.000170462,0.000124464,0.0002921539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008488628,"about_ca_system_score_gemma":0.00006216012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009673159,"about_ca_topic_score_gemma":0.002283563,"domain_scores_codex":[0.9998907,0.00002589454,0.000004677032,0.00003189813,0.0000264467,0.0000203969],"domain_scores_gemma":[0.9998172,0.00003002903,0.00006801469,0.00001176274,0.00003386771,0.00003909515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003516516,0.0004488807,0.7531256,0.0000630522,0.00008243525,0.0007614107,0.0005120384,0.0006085554,0.2150341,0.00003281144,0.0002877701,0.02552691],"study_design_scores_gemma":[0.000003737468,0.0009059603,0.9957277,0.000002184649,0.000009442389,0.0001512952,0.00009091658,0.0002293389,0.002721367,0.000005010421,0.0001501737,0.000002959226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999606,0.00002570201,0.0001553162,0.000004339493,0.0000011483,0.000004044174,0.0000547803,0.000003802575,0.0001448776],"genre_scores_gemma":[0.9989738,0.00002517956,0.0001501821,0.000008938048,0.000003336244,0.00001361833,0.0001588771,0.000003267649,0.000662833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001542851,"threshold_uncertainty_score":0.005161285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148318208483144,"score_gpt":0.2899041132966087,"score_spread":0.2584209312117773,"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."}}