{"id":"W4390763559","doi":"10.1016/j.medengphy.2024.104105","title":"Automated digital templating of component sizing is accurate in robotic total hip arthroplasty when compared to predicate software","year":2024,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber River Regional Hospital; University of Toronto","funders":"","keywords":"Sizing; Total hip arthroplasty; Software; Biomedical engineering; Implant; Surgery; Orthodontics; Medicine; Computer science; Operating system","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":[0.0001924986,0.0002852776,0.0005873532,0.000148472,0.00003738302,0.0000592184,0.0001016917,0.0001190229,0.0001267911],"category_scores_gemma":[0.0003912075,0.0002473549,0.0001276361,0.000419645,0.00007392556,0.0001918997,0.0001434075,0.0004999672,0.0000708705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008086393,"about_ca_system_score_gemma":0.0001904183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002616707,"about_ca_topic_score_gemma":0.000001553119,"domain_scores_codex":[0.9976734,0.00001425386,0.000633461,0.0003777828,0.0008147135,0.0004864206],"domain_scores_gemma":[0.998951,0.0002761628,0.0000582909,0.0002266378,0.00004637543,0.0004414886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004318911,0.002058351,0.04462158,0.009787939,0.001526771,0.004618779,0.0134309,0.362791,0.01150467,0.0009061905,0.01281906,0.5355029],"study_design_scores_gemma":[0.001166552,0.0001848452,0.01561152,0.004226598,0.00005697264,0.0002348165,0.0000710085,0.9754896,0.0004757667,0.00002231147,0.002136651,0.0003233834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228632,0.0002971285,0.0734804,0.0007596741,0.0009105735,0.0004336766,0.00009394055,0.001080953,0.00008041981],"genre_scores_gemma":[0.9970152,0.00001078523,0.002282355,0.0001301208,0.0003403208,0.00001699407,0.00008854821,0.00006015194,0.00005547244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6126986,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685835835147904,"score_gpt":0.2586536576538356,"score_spread":0.2417952993023565,"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."}}