{"id":"W2076179484","doi":"10.3138/physio.62.4.378","title":"Modelling Knee Range of Motion Post Arthroplasty: Clinical Applications","year":2010,"lang":"en","type":"article","venue":"Physiotherapy Canada","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Sunnybrook Health Science Centre","funders":"","keywords":"Range of motion; Arthroplasty; Total knee arthroplasty; Medicine; Random effects model; Physical therapy; Body mass index; Knee flexion; Physical medicine and rehabilitation; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003396527,0.0008620174,0.0008150573,0.0005436378,0.0002773778,0.0008959916,0.001082317,0.001159843,0.001950713],"category_scores_gemma":[0.0181458,0.0004346978,0.0009893676,0.0006825217,0.0005977483,0.0005020359,0.0006041601,0.0008585688,0.0003289726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020835,"about_ca_system_score_gemma":0.001724665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618795,"about_ca_topic_score_gemma":0.02575896,"domain_scores_codex":[0.9985794,0.0008979622,0.00007781201,0.0002103069,0.0001700621,0.00006443611],"domain_scores_gemma":[0.9915599,0.006617091,0.001043371,0.0002691771,0.0003921014,0.0001183435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007138898,0.0005018799,0.1005124,0.0005668988,0.000431615,0.0001957379,0.000482669,0.8298824,0.001913101,0.002101324,0.0006266078,0.06207149],"study_design_scores_gemma":[0.00009337416,0.001180641,0.03897765,0.0001413594,0.0001229863,0.0001994493,0.0001632726,0.9537187,0.0006893665,0.0033809,0.00127738,0.00005496544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555812,0.003817802,0.3323953,0.00204231,0.00009484314,0.0006845719,0.001328304,0.000404665,0.003650895],"genre_scores_gemma":[0.952515,0.0007505718,0.04478095,0.00007382433,0.00002701475,0.0003268793,0.0003276917,0.00001710546,0.001180913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02618795,"threshold_uncertainty_score":0.05207103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362455542374602,"score_gpt":0.2943699104862033,"score_spread":0.2807453550624572,"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."}}