{"id":"W7141122998","doi":"10.71165/2fw4-xz36","title":"High tibial osteotomy: why we choose a lateral closing wedgetechnique and what is our “ideal” patient?","year":2023,"lang":"","type":"article","venue":"Mentors in Orthopedics","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"High tibial osteotomy; Survivorship curve; Osteoarthritis; Osteotomy; Ligament; Body mass index; Arthroplasty","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002145568,0.0003617471,0.0004597373,0.0003999082,0.001227681,0.0014186,0.0006227022,0.002314228,0.002185924],"category_scores_gemma":[0.007065136,0.0001585078,0.0002755146,0.0003023461,0.002152316,0.002876665,0.0007046561,0.001924658,0.001034505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000471621,"about_ca_system_score_gemma":0.00102536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005191975,"about_ca_topic_score_gemma":0.001418442,"domain_scores_codex":[0.9990409,0.0003038996,0.0001435744,0.0001041983,0.0002782372,0.0001291748],"domain_scores_gemma":[0.9980269,0.0006679645,0.0004288091,0.00006132595,0.0002656217,0.0005492975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001010011,0.0007117285,0.3579904,0.001501344,0.0001725954,0.05053644,0.003713704,0.001323404,0.008903327,0.007569929,0.0689154,0.4976517],"study_design_scores_gemma":[0.0003056434,0.003602071,0.1675396,0.009591489,0.0003117603,0.5376012,0.05104112,0.004376351,0.007421492,0.06362393,0.1539867,0.0005987764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6110485,0.0803028,0.01805038,0.2693144,0.004907983,0.000155099,0.0001529223,0.000270659,0.01579723],"genre_scores_gemma":[0.934074,0.01998793,0.01318337,0.02712329,0.003474998,0.00007472953,0.0001010106,0.00006163755,0.001918897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002314228,"threshold_uncertainty_score":0.011347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147673878557854,"score_gpt":0.2772679675026576,"score_spread":0.2625005796468722,"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."}}