{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001655798,0.0005492561,0.0003293423,0.0007841032,0.0003035094,0.0006569455,0.0003929173,0.0005013991,0.002320057],"category_scores_gemma":[0.00251923,0.0006798626,0.0003876466,0.0003878612,0.0008218439,0.0004239842,0.0004163952,0.0003987721,0.0005269817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000297632,"about_ca_system_score_gemma":0.0004232938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205784,"about_ca_topic_score_gemma":0.003010503,"domain_scores_codex":[0.9989675,0.0002546082,0.00008166188,0.0001881668,0.0004268368,0.00008124227],"domain_scores_gemma":[0.9978787,0.0004301023,0.0003979395,0.0006286633,0.0005202531,0.000144501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00201177,0.001440945,0.1554063,0.0005180122,0.0003054972,0.002505773,0.00168193,0.013708,0.6981071,0.0006569047,0.0008304885,0.1228273],"study_design_scores_gemma":[0.0002228326,0.02844027,0.6980507,0.0004663122,0.0008570691,0.05258306,0.002397939,0.0195031,0.1819698,0.0004531859,0.01479218,0.000263624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901658,0.0006492318,0.007870967,0.00002518872,0.00002538182,0.00003405103,0.0001028371,0.0000313335,0.001095232],"genre_scores_gemma":[0.9849883,0.0006805764,0.01289782,0.00004731617,0.000006700551,0.00002656868,0.0002015156,0.00001556073,0.001135606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320057,"threshold_uncertainty_score":0.008756816,"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."}}