{"id":"W3179313532","doi":"10.1007/s00402-021-04037-1","title":"Virtual and augmented reality for surgical training and simulation in knee arthroplasty","year":2021,"lang":"en","type":"article","venue":"Archives of Orthopaedic and Trauma Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Virtual reality; Augmented reality; Workflow; Medicine; Orthopedic surgery; Surgical planning; Medical physics; Popularity; Human–computer interaction; Surgery; Computer science","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":[0.0005803491,0.0004095915,0.000235719,0.0004895948,0.0001902689,0.001376251,0.0004915513,0.0006384039,0.006538707],"category_scores_gemma":[0.002310736,0.0003032589,0.0004436591,0.0002884931,0.00039147,0.0005272208,0.001201283,0.0004409086,0.0005607177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667194,"about_ca_system_score_gemma":0.0003954485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009253783,"about_ca_topic_score_gemma":0.001603226,"domain_scores_codex":[0.9994237,0.0003152556,0.00003263378,0.00003541036,0.0001597702,0.00003317577],"domain_scores_gemma":[0.9992983,0.0004786486,0.00003366893,0.00008033914,0.00006818554,0.000040774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003061649,0.0009616421,0.00651452,0.001413006,0.0002164642,0.001362993,0.002616093,0.1301559,0.05851445,0.01703592,0.01097363,0.7671737],"study_design_scores_gemma":[0.0006603013,0.006917022,0.05741539,0.001706156,0.0008126378,0.01167415,0.003689281,0.6734676,0.0587936,0.03100533,0.1530758,0.0007828256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4887261,0.01003569,0.4407211,0.001818607,0.00112289,0.0003902462,0.001210646,0.001727883,0.0542469],"genre_scores_gemma":[0.9075657,0.002961077,0.08348182,0.0002033387,0.0001124329,0.0001986408,0.0002020875,0.00008660166,0.005188341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006538707,"threshold_uncertainty_score":0.02187419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05562925923575136,"score_gpt":0.3079769914646409,"score_spread":0.2523477322288895,"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."}}