{"id":"W2529267477","doi":"10.1016/j.jsurg.2016.08.006","title":"Evaluation of Procedural Simulation as a Training and Assessment Tool in General Surgery—Simulating a Laparoscopic Appendectomy","year":2016,"lang":"en","type":"article","venue":"Journal of surgical education","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"TrygFonden","keywords":"Simulation training; Laparoscopic surgery; General surgery; Medicine; Training (meteorology); Laparoscopy; Medical physics; Surgery; Computer science; Simulation; Geography","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":[0.003145043,0.0004544502,0.0003586841,0.00064647,0.0002522755,0.0007835508,0.0007642421,0.0006314754,0.0020706],"category_scores_gemma":[0.02161987,0.0002055287,0.0004178956,0.0002446672,0.0004210349,0.0006056972,0.0008684745,0.000439436,0.0003444229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238129,"about_ca_system_score_gemma":0.0008509232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010623,"about_ca_topic_score_gemma":0.001011829,"domain_scores_codex":[0.9972448,0.001687159,0.0002208036,0.0001812713,0.000503637,0.0001624467],"domain_scores_gemma":[0.9896855,0.006488832,0.0007262023,0.0004770384,0.001558044,0.001064409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03008865,0.02699082,0.4183958,0.001266382,0.0004406818,0.001132198,0.009898049,0.02553202,0.08898225,0.001228775,0.002176751,0.3938676],"study_design_scores_gemma":[0.001444731,0.1292408,0.6533239,0.0005048348,0.00080251,0.003909928,0.006686263,0.1302474,0.06182684,0.0008377383,0.01083156,0.0003434702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956322,0.00005873148,0.002487547,0.00005267533,0.00002320936,0.000231869,0.00006213737,0.00004712434,0.001404486],"genre_scores_gemma":[0.9944257,0.00006844311,0.004837148,0.00002710345,0.00001150333,0.0001178001,0.00008866865,0.00001061091,0.0004131015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003145043,"threshold_uncertainty_score":0.01663274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09227122063724788,"score_gpt":0.4269601620274014,"score_spread":0.3346889413901536,"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."}}