{"id":"W2086121508","doi":"10.1007/s00270-006-0161-1","title":"Porcine Transfer Study: Virtual Reality Simulator Training Compared with Porcine Training in Endovascular Novices","year":2007,"lang":"en","type":"article","venue":"CardioVascular and Interventional Radiology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Virtual reality; Training (meteorology); Ultrasound; Transfer of training; Simulation training; Simulation; Medical physics; Biomedical engineering; Radiology; Human–computer interaction; 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":[0.001926397,0.0005821718,0.0006760554,0.0006876286,0.0004428308,0.0005922619,0.0007037028,0.001221321,0.00493277],"category_scores_gemma":[0.005685702,0.0002823577,0.0007386833,0.0003267814,0.0007608047,0.001333046,0.000999535,0.001189222,0.0007047071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462866,"about_ca_system_score_gemma":0.0006149811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008841302,"about_ca_topic_score_gemma":0.000646163,"domain_scores_codex":[0.9991069,0.000390357,0.00006803875,0.0001537982,0.0001277965,0.0001530603],"domain_scores_gemma":[0.9950664,0.002168725,0.0004275794,0.0004750094,0.0004227481,0.00143941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4231494,0.2691826,0.1050411,0.001356592,0.001062825,0.002558825,0.005965391,0.00917269,0.07973852,0.001331538,0.002035956,0.09940463],"study_design_scores_gemma":[0.005640755,0.6964161,0.2765937,0.00009261982,0.0003028332,0.0008236547,0.002350431,0.004179108,0.01071293,0.0004020674,0.002388726,0.00009706288],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989474,0.00004524945,0.000159249,0.00002049299,0.00002821193,0.00009787331,0.00006655286,0.00000442615,0.0006305862],"genre_scores_gemma":[0.9977466,0.00008212907,0.0002820901,0.00008131914,0.00003640297,0.000188525,0.0002183893,0.000005432499,0.001358972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00493277,"threshold_uncertainty_score":0.01650172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156908577144852,"score_gpt":0.3162057304497793,"score_spread":0.2546366446783308,"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."}}