{"id":"W3108021837","doi":"10.1089/end.2020.0674","title":"Simulation-Based Percutaneous Renal Access Training: Evaluating a Novel 3D Immersive Virtual Reality Platform","year":2020,"lang":"en","type":"article","venue":"Journal of Endourology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; St. Michael's Hospital","funders":"","keywords":"Percutaneous nephrolithotomy; Medicine; Percutaneous; Virtual reality; Fluoroscopy; Medical physics; Fidelity; Simulation; Surgery; Urology; Computer science; Human–computer interaction","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":[0.001637927,0.0008519085,0.000397286,0.0004446011,0.0001794508,0.0007510021,0.000947969,0.0005690655,0.002746859],"category_scores_gemma":[0.005277926,0.0003303284,0.0007001234,0.0001714775,0.0003635483,0.0006074338,0.00117232,0.0005146136,0.0002978485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935026,"about_ca_system_score_gemma":0.0006415084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006821985,"about_ca_topic_score_gemma":0.0008207886,"domain_scores_codex":[0.9991651,0.000379227,0.0000596924,0.00008586602,0.000215133,0.00009504956],"domain_scores_gemma":[0.9977568,0.001173942,0.0002591664,0.0001076134,0.0002369481,0.0004655257],"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":[0.0265351,0.1055644,0.06085611,0.006055287,0.0008643983,0.00112266,0.01513449,0.0704897,0.1416043,0.001553372,0.003090743,0.5671294],"study_design_scores_gemma":[0.007491457,0.5402339,0.1738534,0.001195295,0.001633924,0.002612898,0.006719357,0.1871914,0.05815214,0.001557947,0.01860815,0.0007503748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944326,0.00008629436,0.004220371,0.00004295043,0.00002352785,0.0004925073,0.00005710098,0.00005398376,0.0005906935],"genre_scores_gemma":[0.9639298,0.0004297449,0.03312629,0.00007751925,0.00003017225,0.001297084,0.0002256392,0.00002108517,0.0008625773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002746859,"threshold_uncertainty_score":0.009189129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.244083615710663,"score_gpt":0.4164882617408286,"score_spread":0.1724046460301656,"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."}}