{"id":"W3091908572","doi":"10.29007/srn7","title":"Optimal Targeting Display for Navigated Pelvic Screw Insertions","year":2020,"lang":"en","type":"article","venue":"EPiC series in health sciences","topic":"Pelvic and Acetabular Injuries","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visualization; Computer science; Navigation system; Surgical instrument; Surgical procedures; Human–computer interaction; Computer vision; Artificial intelligence; Medicine; 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":[0.0009776223,0.0008613692,0.0005500626,0.001122804,0.0003515336,0.00156335,0.0005060847,0.0006744385,0.003721275],"category_scores_gemma":[0.01684108,0.0005218511,0.0003726791,0.0004945255,0.0002836994,0.001602892,0.0007572504,0.0005375404,0.0006866938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111424,"about_ca_system_score_gemma":0.0008203408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007109836,"about_ca_topic_score_gemma":0.0009047713,"domain_scores_codex":[0.9989725,0.000400854,0.0001089661,0.0001270502,0.0002697879,0.0001208905],"domain_scores_gemma":[0.9933123,0.003612021,0.001003659,0.0003664535,0.001411795,0.0002936672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005038086,0.00116001,0.0330287,0.002106305,0.0001092533,0.0009199662,0.002102473,0.01446884,0.5868335,0.002548154,0.004639911,0.3470448],"study_design_scores_gemma":[0.000942156,0.01732809,0.1855347,0.001558586,0.001170133,0.006662632,0.002503866,0.1362131,0.6128044,0.005637687,0.02900587,0.0006387614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6742004,0.003348263,0.3116037,0.0006282287,0.0002011913,0.0006654512,0.0005382125,0.003495012,0.005319554],"genre_scores_gemma":[0.8286532,0.001065596,0.168495,0.0001478757,0.0000635251,0.000285588,0.000183753,0.0003945209,0.0007110218],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003721275,"threshold_uncertainty_score":0.01244891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04819156336663213,"score_gpt":0.3596844915131252,"score_spread":0.3114929281464931,"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."}}