{"id":"W3129206144","doi":"10.1016/j.jbiomech.2021.110329","title":"Timing of gait events affects whole trajectory analyses: A statistical parametric mapping sensitivity analysis of lower limb biomechanics","year":2021,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomechanics; Kinematics; Gait; Statistical parametric mapping; Parametric statistics; Gait analysis; Physical medicine and rehabilitation; Trajectory; Ground reaction force; Sensitivity (control systems); Computer science; Simulation; Medicine; Statistics; Mathematics; Engineering; Physics","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01060638,0.0007115771,0.0008767649,0.001014877,0.0003764215,0.001430145,0.0006892423,0.0008340799,0.001912232],"category_scores_gemma":[0.06791643,0.000548451,0.001824092,0.0006692006,0.0005613592,0.001307559,0.001009407,0.001056639,0.0001573519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184061,"about_ca_system_score_gemma":0.0006385536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002755588,"about_ca_topic_score_gemma":0.001556229,"domain_scores_codex":[0.9949375,0.00324628,0.0002988724,0.0007877623,0.0004927921,0.0002366624],"domain_scores_gemma":[0.9038224,0.08900555,0.002244903,0.003202912,0.001357221,0.0003668933],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01981812,0.00197101,0.282583,0.0009614759,0.008009062,0.002217662,0.001595416,0.3624264,0.1315158,0.004214747,0.001468929,0.1832184],"study_design_scores_gemma":[0.0000893055,0.002805589,0.3247024,0.00005609254,0.002024441,0.001608475,0.000321994,0.6456232,0.01860124,0.003232914,0.0007395648,0.0001947832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911918,0.0002589325,0.1071583,0.00009126458,0.0000446016,0.0001137164,0.0002797967,0.000311738,0.0005498545],"genre_scores_gemma":[0.9911582,0.00003945559,0.008228133,0.0000254015,0.000009253948,0.00004144405,0.000177331,0.0001058783,0.0002149358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991232,"threshold_uncertainty_score":0.05609256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06940551272465251,"score_gpt":0.3733691740447015,"score_spread":0.303963661320049,"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."}}