{"id":"W2026374879","doi":"10.1016/j.amjsurg.2008.02.008","title":"Choosing the right physical laparoscopic simulator? comparison of LTS2000-ISM60 with MISTELS: validation, correlation, and user satisfaction","year":2008,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; McGill University Health Centre; Université de Montréal","funders":"","keywords":"User satisfaction; Laparoscopic surgery; Medicine; Simulation; Medical physics; Physical therapy; Medical education; Laparoscopy; Computer science; Psychology; Surgery; Human–computer interaction","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":[0.0003810249,0.00009793937,0.0005150224,0.00008067967,0.00017357,0.00001205822,0.00004203825,0.00001664934,0.00003460624],"category_scores_gemma":[0.0001321392,0.0000487257,0.00009936198,0.0003413641,0.0004881636,0.0001126161,0.000007599628,0.0002349937,0.000001785762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002729702,"about_ca_system_score_gemma":0.00009101375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003148574,"about_ca_topic_score_gemma":7.559439e-7,"domain_scores_codex":[0.9988273,0.000155394,0.0004361291,0.00008064661,0.0003868573,0.000113699],"domain_scores_gemma":[0.996959,0.001812247,0.0007925148,0.0001342061,0.0002199924,0.00008204332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005504777,0.00007056211,0.9791248,0.00000751113,0.0001108536,0.00001111969,0.001227345,0.00781758,0.0001337915,0.00003146159,0.0001167174,0.01079781],"study_design_scores_gemma":[0.00093476,0.0001721619,0.9921269,0.0001373583,0.0001471569,0.0002713428,0.0008666718,0.003650848,0.0008677625,0.00003808875,0.000716397,0.00007058514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979869,0.0001297494,0.000972298,0.000598115,0.00008643724,0.00007334763,7.592018e-7,0.000009474386,0.0001429755],"genre_scores_gemma":[0.9994749,0.00003981692,0.00009267934,0.0001782233,0.0001718038,6.97309e-7,0.000001597871,0.00001164321,0.00002862423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130021,"threshold_uncertainty_score":0.1986976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033865597621051,"score_gpt":0.3080146970225158,"score_spread":0.2676760410463053,"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."}}