{"id":"W4304480164","doi":"10.54847/cp.2022.04.20","title":"Common surgical training program: standardization of learning quality","year":2022,"lang":"en","type":"article","venue":"Cirugía pediátrica","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standardization; Quality (philosophy); Computer science; Training (meteorology); Moderation; Learning curve; Medical education; Engineering management; Operations management; Medicine; Engineering; Machine learning; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009285592,0.000106352,0.000407447,0.0001411816,0.0002565377,0.00001225892,0.0000728006,0.00005013805,0.001639545],"category_scores_gemma":[0.0002610545,0.0001036772,0.0001545385,0.0007448271,0.00006773121,0.00004217671,0.00007117638,0.0004468293,0.000004445998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008639797,"about_ca_system_score_gemma":0.0001162957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286819,"about_ca_topic_score_gemma":7.000415e-7,"domain_scores_codex":[0.9980776,0.0002894833,0.0004793008,0.0002261032,0.0006947789,0.000232743],"domain_scores_gemma":[0.9990079,0.0003984185,0.0001953167,0.0001551449,0.0001026677,0.0001405632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001298108,0.0008716636,0.1636432,0.0001343484,0.0001197678,0.0001993939,0.004800636,0.01216904,0.0001558137,0.005240091,0.0001897553,0.8111781],"study_design_scores_gemma":[0.00880025,0.00124142,0.04134145,0.00003254148,0.0001076092,0.00008831876,0.004682632,0.008857287,0.0001229425,0.0002004155,0.9342477,0.0002774063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9286185,0.0002463694,0.0008319523,0.0004198806,0.0001703878,0.000486962,0.00001700891,0.0003479324,0.06886103],"genre_scores_gemma":[0.9988402,0.00001158963,0.0003249587,0.00006849982,0.0001200911,0.00004255498,0.0001377517,0.00001994769,0.0004344053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.934058,"threshold_uncertainty_score":0.9992731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08954149169312144,"score_gpt":0.3950263355413057,"score_spread":0.3054848438481843,"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."}}