{"id":"W4416207331","doi":"10.1302/1358-992x.2025.13.016","title":"PREDICTING GAIT KINETIC OUTCOMES USING KINEMATICS IN PATIENTS BEFORE AND AFTER TOTAL KNEE ARTHROPLASTY","year":2025,"lang":"en","type":"article","venue":"Orthopaedic Proceedings","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Kinematics; Gait; Gait analysis; Motion capture; Range of motion; Arthroplasty; Inverse dynamics; Biomechanics; Univariate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004563951,0.0003939816,0.0004513765,0.001277793,0.0003824423,0.0006926001,0.0003248633,0.0005383126,0.000838907],"category_scores_gemma":[0.002729001,0.0002745102,0.0004174819,0.0009281703,0.0003415348,0.0007754646,0.000589688,0.0005324335,0.0003551209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686949,"about_ca_system_score_gemma":0.0003685227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114937,"about_ca_topic_score_gemma":0.007168732,"domain_scores_codex":[0.9996529,0.00005358814,0.00006568511,0.00006462009,0.00009391655,0.00006939418],"domain_scores_gemma":[0.9987994,0.0002064537,0.0005417474,0.00007418419,0.0001808443,0.0001973021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008832779,0.00004393061,0.998178,0.000003660592,0.00001242474,0.00004257941,0.00005144901,0.00005452803,0.0002125157,0.000004148058,0.00002651601,0.001281894],"study_design_scores_gemma":[0.000003066112,0.0002109476,0.9992484,0.000002205457,0.000008318128,0.0001067929,0.0001350697,0.0001807337,0.00006222878,0.000008967097,0.00002915464,0.000004027804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996247,0.000048302,0.00009038058,0.0000101949,0.000002576356,0.000007181985,0.0001185725,0.000002719306,0.00009533664],"genre_scores_gemma":[0.9993625,0.00005786012,0.0001343327,0.000008673403,0.000005961114,0.00000969992,0.0003142488,0.000001692247,0.0001051316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004114937,"threshold_uncertainty_score":0.00818193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006450806186012847,"score_gpt":0.2385007626688854,"score_spread":0.2320499564828725,"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."}}