{"id":"W2335700968","doi":"10.1115/sbc2009-206482","title":"Image-Based Navigation Improves the Accuracy and Reproducibility of Humeral Component Positioning in Total Elbow Arthroplasty","year":2009,"lang":"en","type":"article","venue":"ASME 2009 Summer Bioengineering Conference, Parts A and B","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Western University","funders":"","keywords":"Reproducibility; Elbow; Arthroplasty; Implant; Computer science; Orthodontics; Computer vision; Elbow flexion; Artificial intelligence; Biomedical engineering; Medicine; Surgery; Mathematics","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":[0.002048047,0.0004652898,0.0004671799,0.0007522054,0.0001313755,0.0006587279,0.0006806127,0.0008343653,0.001145667],"category_scores_gemma":[0.01945042,0.0003876381,0.000253237,0.0007563907,0.0003906947,0.000676156,0.0005311329,0.0004777072,0.0005335964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302932,"about_ca_system_score_gemma":0.0004151297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883138,"about_ca_topic_score_gemma":0.002825329,"domain_scores_codex":[0.9978074,0.0006819899,0.0002237856,0.0001911932,0.001051058,0.00004466344],"domain_scores_gemma":[0.9931614,0.003435154,0.001109629,0.0006436999,0.001560435,0.00008969136],"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":[0.003298861,0.0005216404,0.05889533,0.0006306852,0.0001637102,0.0003129529,0.0006811417,0.0200496,0.1200249,0.0003003065,0.002632061,0.7924887],"study_design_scores_gemma":[0.0004110833,0.007497608,0.5873816,0.0002990928,0.000948939,0.007263261,0.0002647068,0.197059,0.1871713,0.001239076,0.01004557,0.0004188575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7888281,0.01010034,0.1933931,0.000354087,0.0003546229,0.00009190795,0.0001931423,0.002684218,0.004000538],"genre_scores_gemma":[0.9286355,0.001290719,0.0682335,0.0001529588,0.0001613099,0.00003211329,0.0001599298,0.0002479759,0.001086006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002048047,"threshold_uncertainty_score":0.01083124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190783748334325,"score_gpt":0.287586756690169,"score_spread":0.2656789192068258,"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."}}