{"id":"W4285090328","doi":"10.7759/cureus.26799","title":"The Future of Emergency Medicine (EM) Sim Cases: A Modified Massive Online Needs Assessment","year":2022,"lang":"en","type":"article","venue":"Cureus","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia, Okanagan Campus; Kelowna General Hospital; McMaster University; Queen's University; University of Toronto","funders":"","keywords":"Medicine; Thematic analysis; Descriptive statistics; Needs assessment; Resource (disambiguation); Medical education; User needs; Process (computing); Educational resources; Multimedia; Computer science; Psychology; Qualitative research; Statistics; Pedagogy","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":[0.01070342,0.0005194286,0.0003426475,0.003829279,0.001362266,0.001506985,0.0009471601,0.0007429552,0.003730323],"category_scores_gemma":[0.0216694,0.0003454333,0.0006701847,0.001461688,0.0007598976,0.003269307,0.004759925,0.0009508862,0.0006543074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002542887,"about_ca_system_score_gemma":0.003339655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176084,"about_ca_topic_score_gemma":0.003127064,"domain_scores_codex":[0.995005,0.002832323,0.0007614988,0.0002383244,0.0007295835,0.0004333391],"domain_scores_gemma":[0.9859737,0.006561971,0.001846243,0.0006203835,0.003559923,0.001437734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005374671,0.003565697,0.4330311,0.002598265,0.00008706294,0.0013588,0.1402769,0.002909551,0.005574413,0.006706244,0.01851722,0.3848372],"study_design_scores_gemma":[0.000215389,0.003459313,0.5758055,0.001715669,0.0001327242,0.001974001,0.2779991,0.02253291,0.00981752,0.01250513,0.09345408,0.0003886411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974198,0.00006972039,0.00955465,0.001696797,0.0000433595,0.005168025,0.001032024,0.0001426835,0.008094736],"genre_scores_gemma":[0.9144404,0.0003190154,0.06844313,0.0005899417,0.00004149621,0.01239553,0.001355858,0.0000398986,0.002374655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070342,"threshold_uncertainty_score":0.05660582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07135342499307866,"score_gpt":0.4206900218407045,"score_spread":0.3493365968476259,"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."}}