{"id":"W4388111228","doi":"10.54531/wjgb5594","title":"The effectiveness and efficiency of using ChatGPT for writing health care simulations","year":2023,"lang":"en","type":"article","venue":"International Journal of Healthcare Simulation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Quality (philosophy); Computer science; Set (abstract data type); Health care; Subject-matter expert; Simulation modeling; Preference; Work (physics); Simulation; Artificial intelligence; Expert system; Engineering; Mechanical engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09205388,0.001131304,0.001459422,0.004626704,0.001713693,0.005220299,0.002287434,0.001669155,0.009613015],"category_scores_gemma":[0.5365619,0.0008751792,0.001497707,0.00243847,0.001610239,0.004237084,0.005250957,0.001606782,0.003852378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285128,"about_ca_system_score_gemma":0.003817882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146631,"about_ca_topic_score_gemma":0.002862894,"domain_scores_codex":[0.8558341,0.10647,0.01433582,0.00505407,0.01721824,0.001087685],"domain_scores_gemma":[0.2938563,0.5979452,0.02414101,0.04077429,0.03879452,0.004488783],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006465067,0.002753873,0.0267843,0.007447565,0.0004498006,0.001074054,0.02971682,0.008187835,0.009864379,0.001709444,0.01273356,0.8928134],"study_design_scores_gemma":[0.01176622,0.04834555,0.2569845,0.03097598,0.004273876,0.01874185,0.06273344,0.1741395,0.08019962,0.03247258,0.275933,0.003433848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.66308,0.005961633,0.2337309,0.006222092,0.001827431,0.01317098,0.001978439,0.007931322,0.06609711],"genre_scores_gemma":[0.6685131,0.002672207,0.3111958,0.001282275,0.0004021772,0.007183954,0.0009684261,0.001542139,0.006239986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9079461,"threshold_uncertainty_score":0.4868333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555211541755611,"score_gpt":0.529695413211923,"score_spread":0.3741742590363619,"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."}}