{"id":"W2055337248","doi":"10.1371/journal.pone.0105246","title":"Gender and Age-Related Differences in Bilateral Lower Extremity Mechanics during Treadmill Running","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Running Injury Clinic; University of Calgary","funders":"Alberta Innovates; Fondation pour la Recherche Médicale; University of Calgary","keywords":"Treadmill; Principal component analysis; Kinematics; Support vector machine; Population; Homogeneous; Sample size determination; Analysis of variance; Demography; Statistics; Mathematics; Physical medicine and rehabilitation; Medicine; Physical therapy; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001442457,0.0001918614,0.0003072038,0.000142701,0.00005164391,0.00005095318,0.0001208941,0.0001605389,0.0001360263],"category_scores_gemma":[0.00003877082,0.0001774731,0.00003286737,0.0001576344,0.00001990169,0.0001042326,0.00007610453,0.0002338406,0.00001515545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003607019,"about_ca_system_score_gemma":0.000003925662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001062212,"about_ca_topic_score_gemma":0.00001774837,"domain_scores_codex":[0.9990217,0.00002557395,0.0002284153,0.0002547169,0.0001568239,0.0003127822],"domain_scores_gemma":[0.9996324,0.00005010708,0.00002885716,0.0001998458,0.00001532795,0.0000734309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007609806,0.001084372,0.06741824,0.001262294,0.0005494815,0.0003750534,0.005602724,0.0003929289,0.9159527,0.003503149,0.0000927457,0.003690207],"study_design_scores_gemma":[0.003565506,0.00023222,0.2653436,0.001348248,0.0002531457,0.00004374927,0.0003387085,0.6341184,0.0586201,0.03367964,0.00009822906,0.002358427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977468,0.0002496167,0.0002301605,0.00001561551,0.0001101047,0.0001092497,0.00001699546,0.0002887317,0.001232752],"genre_scores_gemma":[0.998587,0.0001936353,0.001013492,0.00001593689,0.00003465279,0.00001448787,0.00001349692,0.00002975277,0.00009753472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8573326,"threshold_uncertainty_score":0.7237142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981472869789033,"score_gpt":0.1890516102029273,"score_spread":0.149236881505037,"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."}}