{"id":"W2116489854","doi":"10.1016/j.clinbiomech.2010.09.016","title":"Gait adaptation in chronic anterior cruciate ligament-deficient patients: Pivot-shift avoidance gait","year":2010,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital du Sacré-Cœur de Montréal; École de Technologie Supérieure; Université de Montréal","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Gait; Physical medicine and rehabilitation; Anterior cruciate ligament; Gait analysis; Adaptation (eye); Medicine; Gait cycle; Physical therapy; Psychology; Anatomy; Kinematics; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002369843,0.0005711341,0.0004792753,0.000831584,0.0005417356,0.0003587638,0.0002280529,0.0006299264,0.002237935],"category_scores_gemma":[0.00124824,0.0002048621,0.0002828821,0.0006485815,0.000421756,0.0003268927,0.0003979393,0.0003657162,0.0002955218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271174,"about_ca_system_score_gemma":0.0002190259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453123,"about_ca_topic_score_gemma":0.002469616,"domain_scores_codex":[0.9998354,0.00003363348,0.00003005011,0.00002322292,0.00001881948,0.00005889022],"domain_scores_gemma":[0.9996994,0.00005678454,0.00007429771,0.00001821272,0.00004614103,0.0001052831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005163411,0.001315779,0.9375848,0.0001338637,0.0001759102,0.01466561,0.0007606878,0.0008070242,0.01779004,0.0001396559,0.000601668,0.02086158],"study_design_scores_gemma":[0.0001186016,0.002098287,0.982062,0.00001624173,0.00005723019,0.01349188,0.0006669336,0.0005978482,0.0005421509,0.0001107484,0.000222396,0.00001556051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993554,0.00007787871,0.00008427526,0.00004208199,0.000006983023,0.000009892021,0.00006316471,0.000003045608,0.0003572073],"genre_scores_gemma":[0.9997343,0.00002851816,0.00003380559,0.00002050035,0.000005535763,0.000004851494,0.00005726117,0.000001179813,0.0001141006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002453123,"threshold_uncertainty_score":0.007486701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126023534066913,"score_gpt":0.3298221128121051,"score_spread":0.308561877471436,"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."}}