{"id":"W2081356678","doi":"10.1097/sla.0000000000000826","title":"Simulation in Surgery","year":2014,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagging; Medicine; Curriculum; Simulation training; Surgical simulation; Medical education; Simulation; Computer science; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144688,0.00006615835,0.000355315,0.000272791,0.00001291214,0.00000394046,0.00001497736,0.00005928341,0.0002399031],"category_scores_gemma":[0.002204361,0.00005962795,0.0001696261,0.0002936514,0.00002820085,0.00007102871,0.00000698752,0.00006575928,0.00002318904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003692495,"about_ca_system_score_gemma":0.00003350417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001861229,"about_ca_topic_score_gemma":0.000001577069,"domain_scores_codex":[0.9991003,0.00006223313,0.0003814209,0.0001135999,0.0001815627,0.0001609312],"domain_scores_gemma":[0.9939687,0.005638097,0.00009097366,0.0001248692,0.0001009243,0.00007646404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001753557,0.0001129547,0.83986,0.00005972635,0.00001589772,0.00001414823,0.0000500969,0.007426863,0.00002927215,0.0002006525,0.0004337284,0.1516213],"study_design_scores_gemma":[0.00033355,0.00001328261,0.9493054,0.0002232628,0.00000591581,0.000001271892,0.00001918433,0.02635099,0.0007584988,0.0004325719,0.02245808,0.0000980564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933384,0.000080585,0.0001716901,0.000860668,0.0001071994,0.00004734875,7.785151e-7,0.00003027565,0.005363036],"genre_scores_gemma":[0.9985644,0.00002963205,0.00001809542,0.00121491,0.00008579211,0.00000181447,0.00001764642,0.000009223527,0.00005854147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515233,"threshold_uncertainty_score":0.2638985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4274761903215155,"score_gpt":0.4014730221264465,"score_spread":0.02600316819506893,"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."}}