{"id":"W2405493031","doi":"10.1016/j.surg.2016.03.028","title":"The value proposition of simulation","year":2016,"lang":"en","type":"article","venue":"Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Value proposition; Value (mathematics); Proposition; Machine learning; Epistemology","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":[0.0002845821,0.00002933624,0.00007762952,0.00002566376,0.00003895323,0.000002737053,0.00001014465,0.00002267827,0.00009576271],"category_scores_gemma":[0.0003610167,0.00001299988,0.00006232215,0.00007231801,0.00003778476,0.00003157775,0.000004058599,0.00001850933,0.00001986421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177084,"about_ca_system_score_gemma":0.00002589365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001733142,"about_ca_topic_score_gemma":3.056938e-7,"domain_scores_codex":[0.9995871,0.00002914978,0.0001397469,0.00005225302,0.0001234856,0.00006827192],"domain_scores_gemma":[0.99811,0.001674514,0.00004585808,0.00008358345,0.00005772983,0.00002833656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005334583,0.00006996263,0.1298745,0.00002717452,0.00004850002,0.000006299615,0.00006878206,0.000851305,0.003324565,0.005778128,0.0001979048,0.8592194],"study_design_scores_gemma":[0.002504566,0.00009605706,0.8692648,0.0005344752,0.00006453989,0.000009166754,0.00006586168,0.01155924,0.01602808,0.003710972,0.09599157,0.0001707054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856554,0.00006010225,0.003053752,0.001899664,0.0001960919,0.000118002,0.000001204398,0.00004289351,0.008972915],"genre_scores_gemma":[0.9994966,0.00001101913,0.00001712659,0.00006745737,0.00006330061,0.000001959136,0.000002223363,0.00000414339,0.0003361171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8590487,"threshold_uncertainty_score":0.1048535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878867213141639,"score_gpt":0.3104274176604127,"score_spread":0.2716387455289963,"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."}}