{"id":"W4223483238","doi":"10.2196/33565","title":"An Alternative to Traditional Bedside Teaching During COVID-19: High-Fidelity Simulation-Based Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Fidelity; Computer science; Psychology; Medicine; Virology; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00155894,0.0002351914,0.000315169,0.0005805496,0.001281307,0.00004108207,0.0003094881,0.00009871544,0.008807507],"category_scores_gemma":[0.004003806,0.0002597138,0.00008234662,0.0005936184,0.00005303879,0.0001919377,0.00004669813,0.0009312872,0.00003436094],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002976176,"about_ca_system_score_gemma":0.01184161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075121,"about_ca_topic_score_gemma":0.00005090306,"domain_scores_codex":[0.9949709,0.0009428228,0.0007872616,0.0007382216,0.002211868,0.0003488831],"domain_scores_gemma":[0.9950706,0.001472202,0.0002431806,0.0006807726,0.0004176683,0.00211556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007183619,0.01225154,0.5224382,0.0002242948,0.00005573427,0.00002370194,0.03027784,0.4263818,0.0000758516,0.001166452,0.002148984,0.004237164],"study_design_scores_gemma":[0.003173502,0.001154174,0.8966603,0.00007648209,0.00006081869,0.00001656624,0.02169948,0.07432505,0.00002921039,0.000972302,0.001488482,0.0003436676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571682,0.00001824535,0.002285691,0.03576457,0.00162337,0.002782954,0.00005254978,0.0002308877,0.00007352819],"genre_scores_gemma":[0.9661912,1.907657e-7,0.0009227898,0.02676273,0.001730966,0.002920928,0.00130837,0.00004792997,0.0001149127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.374222,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816675914754784,"score_gpt":0.4541649700945046,"score_spread":0.3959982109469568,"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."}}