{"id":"W4214827292","doi":"10.1097/sih.0000000000000649","title":"Adaptation of a Simulation Model and Checklist to Assess Pediatric Emergency Care Performance by Prehospital Teams","year":2022,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Associated Medical Services","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute","keywords":"Inter-rater reliability; Checklist; Medicine; Emergency department; Psychology; Medical emergency; Physical therapy; Nursing; Rating scale","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":[0.02727944,0.001156074,0.0007043875,0.00265775,0.0007111284,0.001014848,0.002306966,0.0006167817,0.001720186],"category_scores_gemma":[0.05219645,0.0006872487,0.001781481,0.001225045,0.0009092777,0.00165045,0.003028167,0.001153009,0.0005370585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002976575,"about_ca_system_score_gemma":0.007350991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004763401,"about_ca_topic_score_gemma":0.007056719,"domain_scores_codex":[0.9665211,0.02039284,0.004719891,0.001155282,0.00646273,0.0007481309],"domain_scores_gemma":[0.9391513,0.0214674,0.008196693,0.006723939,0.02253105,0.001929572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001949275,0.002692088,0.3130708,0.00339133,0.0005980261,0.0006813059,0.01118009,0.06484791,0.01197085,0.002578082,0.01494012,0.5721002],"study_design_scores_gemma":[0.0014846,0.01258502,0.6197909,0.004402592,0.0007596744,0.005309996,0.007596928,0.2514051,0.03539775,0.006571002,0.05349446,0.001202049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5982217,0.0006786388,0.364424,0.001520668,0.0003236562,0.02243401,0.001863555,0.002304806,0.008229047],"genre_scores_gemma":[0.5117942,0.0006075477,0.470842,0.000216689,0.0000534154,0.01315326,0.00215148,0.0001417725,0.001039569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02727944,"threshold_uncertainty_score":0.1442692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086981776839849,"score_gpt":0.3822135062097499,"score_spread":0.3313436884413514,"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."}}