{"id":"W3202058886","doi":"10.1007/s11548-021-02503-0","title":"Targeting repeatability of a less obtrusive surgical navigation procedure for total shoulder arthroplasty","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Computer science; Arthroplasty; Calibration; Trajectory; Navigation system; Computer vision; Software; Standard deviation; Artificial intelligence; Simulation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004397694,0.0001075613,0.0004906681,0.0001074789,0.00004165193,0.00001281076,0.00004074229,0.0001190056,0.00002026423],"category_scores_gemma":[0.0001917087,0.00008399188,0.0002675565,0.00006603809,0.0001104391,0.00009547915,0.00002933991,0.000175656,1.59816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004912517,"about_ca_system_score_gemma":0.0003007185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001227265,"about_ca_topic_score_gemma":4.126556e-7,"domain_scores_codex":[0.9987426,0.0001236479,0.0006361754,0.000172705,0.0002116008,0.0001132668],"domain_scores_gemma":[0.9974808,0.0009990742,0.0003547801,0.00007518238,0.001013545,0.00007667842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005967857,0.001575708,0.89451,0.0003335612,0.004009086,0.006561109,0.0006618974,0.0005938924,0.002926775,0.0007193938,0.003569912,0.07857079],"study_design_scores_gemma":[0.006401882,0.0008591934,0.8423707,0.0007900975,0.0006047233,0.130096,0.0004148684,0.003563359,0.01044539,0.0007473701,0.003412436,0.0002939919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855139,0.001055985,0.01014834,0.001802706,0.001330409,0.00009742285,0.00002126893,0.000007145302,0.00002287917],"genre_scores_gemma":[0.9949201,0.00008918546,0.004005287,0.0001216619,0.0007020139,0.000004959416,0.0001212681,0.000006986644,0.00002850879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235349,"threshold_uncertainty_score":0.3425089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762980891157484,"score_gpt":0.3175256059637921,"score_spread":0.2898957970522173,"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."}}