{"id":"W2758051430","doi":"10.1016/j.knee.2017.08.054","title":"Sex-specific kinetic and kinematic indicators of medial tibiofemoral force during walking and running","year":2017,"lang":"en","type":"article","venue":"The Knee","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Knee flexion; Kinematics; Ankle; Orthodontics; Treadmill; Medicine; Hip flexion; Mathematics; Biomechanics; Gait; Force platform; Knee Joint; Standard deviation; Physical medicine and rehabilitation; Physical therapy; Anatomy; Surgery; Range of motion; Statistics; Physics","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":[0.0001668675,0.0001021968,0.0001606594,0.00006673439,0.0001762595,0.00006623818,0.000170479,0.00005243389,0.00002464905],"category_scores_gemma":[0.00002903691,0.00007457268,0.00002051121,0.00003716184,0.0001111953,0.00006755736,0.0001438583,0.0001047203,0.00000214358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007250842,"about_ca_system_score_gemma":0.00000233347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005279288,"about_ca_topic_score_gemma":0.000003938982,"domain_scores_codex":[0.9995089,0.000008813568,0.0001349833,0.0001053561,0.00008867487,0.0001532374],"domain_scores_gemma":[0.9995388,0.00005451847,0.00006273328,0.0003045725,0.000005838654,0.00003354405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008233927,0.00004743995,0.0432169,0.002775105,0.0002743979,0.0001297968,0.03055999,0.00063716,0.7122027,0.005828903,0.0008277575,0.2034175],"study_design_scores_gemma":[0.004259048,0.0002916665,0.7714494,0.001367931,0.0002076445,0.0002947154,0.002853866,0.04014336,0.1594454,0.01559542,0.002396629,0.001694922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977404,0.0007169887,0.0000921005,0.00003576115,0.0001785555,0.00009189586,0.00001004367,0.00005551593,0.001078776],"genre_scores_gemma":[0.9992295,0.0001676582,0.0004416765,0.000003604103,0.0000724299,0.000003802272,0.000001844049,0.00001561883,0.00006388098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7282325,"threshold_uncertainty_score":0.3040985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195358557271002,"score_gpt":0.2120871050166107,"score_spread":0.2001335194439007,"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."}}