{"id":"W2045845871","doi":"10.1080/00016340701789929","title":"Does box model training improve surgical dexterity and economy of movement during virtual reality laparoscopy? A randomised trial<sup>a</sup>","year":2007,"lang":"en","type":"article","venue":"Acta Obstetricia Et Gynecologica Scandinavica","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Trainer; Dreyfus model of skill acquisition; Curriculum; Virtual reality; Randomized controlled trial; Training system; Laparoscopic surgery; Laparoscopy; Training (meteorology); Physical therapy; Surgery; Computer science; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002193513,0.000401011,0.001267698,0.0003017596,0.000235969,0.00005817868,0.000173246,0.000415472,0.0003238212],"category_scores_gemma":[0.002379103,0.0002615028,0.0003193272,0.0004798981,0.0002511133,0.0002167739,0.0001556953,0.0005305257,0.000002416561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253432,"about_ca_system_score_gemma":0.0001669418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003137788,"about_ca_topic_score_gemma":0.00001143121,"domain_scores_codex":[0.9966357,0.0002094338,0.001258254,0.0007440915,0.0004162776,0.0007362444],"domain_scores_gemma":[0.9935564,0.004918986,0.0004642162,0.0003981188,0.0001551496,0.0005070696],"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":[0.7436932,0.008659367,0.05260297,0.00117835,0.002348138,0.002064322,0.01965799,0.007205316,0.021088,0.0204686,0.0001383033,0.1208954],"study_design_scores_gemma":[0.8234491,0.005467298,0.07570083,0.0003153059,0.0007711693,0.00005157047,0.00660779,0.06577714,0.009943074,0.00553487,0.004758203,0.00162369],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769095,0.00007135952,0.0001865703,0.0006812077,0.0002119266,0.001732272,0.00003324873,0.0001321712,0.02004174],"genre_scores_gemma":[0.9980419,0.00008994999,0.0005082384,0.0007421065,0.0001234724,0.00008242684,0.00003821758,0.00003090317,0.0003427643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192717,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318521027138444,"score_gpt":0.3086808611080071,"score_spread":0.2754956508366226,"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."}}