{"id":"W4387729062","doi":"10.1080/24699322.2023.2267749","title":"Improving alignment in total knee arthroplasty: a cadaveric assessment of a surgical navigation tool with computed tomography imaging","year":2023,"lang":"en","type":"article","venue":"Computer Assisted Surgery","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intellijoint Surgical (Canada)","funders":"","keywords":"Medicine; Valgus; Cadaveric spasm; Tibia; Orthopedic surgery; Orthodontics; Total knee arthroplasty; Anterior cruciate ligament; Nuclear medicine; Anatomy; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006322804,0.0003296901,0.0008713758,0.0008774939,0.00008928803,0.00005280347,0.00005335371,0.00008526749,0.00002538112],"category_scores_gemma":[0.000017974,0.0002894831,0.0003013308,0.001945205,0.0001500066,0.0002115781,0.0001727904,0.0003400629,0.00001286444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700915,"about_ca_system_score_gemma":0.0003100616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008122258,"about_ca_topic_score_gemma":0.000007576743,"domain_scores_codex":[0.9971767,0.0001884657,0.0008258797,0.0005525889,0.0006989856,0.0005573499],"domain_scores_gemma":[0.9981532,0.0008478902,0.0002829872,0.0004187726,0.000135625,0.0001615393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660702,0.0003667995,0.9045175,0.0003516982,0.0001737195,0.00312479,0.0001651226,0.001373118,0.0006655241,0.00003334877,0.0007664852,0.08829581],"study_design_scores_gemma":[0.002333173,0.0001809189,0.8680398,0.0007827964,0.00004896479,0.0008359657,0.0001022724,0.126982,0.0001098851,0.000003024855,0.0002944118,0.000286727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875704,0.00007156732,0.01031433,0.0003567972,0.000739691,0.0005360977,0.00001456951,0.0003285286,0.00006804257],"genre_scores_gemma":[0.9915343,0.000005592044,0.007910768,0.00007024538,0.0001415375,0.00004914147,0.0001939908,0.00005022188,0.00004419103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256089,"threshold_uncertainty_score":0.9999557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210440725723229,"score_gpt":0.2536574820534942,"score_spread":0.2415530747962619,"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."}}