{"id":"W2121713367","doi":"10.1583/05-1729.1","title":"<b>Assessment of a Virtual Interventional Simulator Trainer</b>","year":2006,"lang":"en","type":"article","venue":"Journal of Endovascular Therapy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Fluoroscopy; Radiology; Session (web analytics); Medical physics; Simulation; 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":[0.004257897,0.0004143155,0.0002419974,0.0005300865,0.0001513712,0.000505739,0.0004164232,0.0003193759,0.002681685],"category_scores_gemma":[0.02126201,0.0001294763,0.0003038386,0.0001529792,0.0004614655,0.0004360313,0.0008314522,0.0002810302,0.0004032085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094023,"about_ca_system_score_gemma":0.0005475503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003558224,"about_ca_topic_score_gemma":0.0004199266,"domain_scores_codex":[0.9971517,0.001303207,0.0002218865,0.0002848982,0.0009009677,0.0001373687],"domain_scores_gemma":[0.9890661,0.004659685,0.002303153,0.0007781012,0.002171314,0.001021569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002246014,0.003134659,0.7893485,0.0006622483,0.0001530438,0.0002387789,0.005484201,0.003247602,0.02850729,0.0003074007,0.001017222,0.165653],"study_design_scores_gemma":[0.0001446994,0.01706367,0.9544443,0.0001589328,0.00009663479,0.0007489171,0.002246471,0.00872542,0.0126236,0.0001825098,0.003503148,0.00006173366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995788,0.00003006687,0.002512365,0.00003704212,0.000009917973,0.0001479888,0.00004535674,0.00003810223,0.001391084],"genre_scores_gemma":[0.9955318,0.0000372871,0.003751894,0.00003146334,0.00001064657,0.0001877475,0.000115051,0.000007138718,0.0003269422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004257897,"threshold_uncertainty_score":0.02251822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280381038624237,"score_gpt":0.3305924717022826,"score_spread":0.3025543678398589,"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."}}