{"id":"W3124882463","doi":"10.3389/fped.2020.599638","title":"Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge","year":2021,"lang":"en","type":"article","venue":"Frontiers in Pediatrics","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; University of Alberta; Children's Hospital Foundation; Stollery Children’s Hospital Foundation; Women and Children's Health Research Institute; Children's Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Medicine; Neonatal resuscitation; Resuscitation; Test (biology); Intervention (counseling); Gee; Emergency medicine; Medical emergency; Generalized estimating equation; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131854,0.0001921924,0.0003141916,0.0004283576,0.000142169,0.00008098389,0.00005624261,0.0001935863,0.0000110099],"category_scores_gemma":[0.0004441123,0.0002193611,0.00006678001,0.000858112,0.00005648557,0.000369199,0.0000231125,0.0003256344,0.000005891428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174057,"about_ca_system_score_gemma":0.002026697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002871396,"about_ca_topic_score_gemma":0.00004381988,"domain_scores_codex":[0.9981575,0.0001021386,0.0005769971,0.0004868217,0.0003146584,0.0003618975],"domain_scores_gemma":[0.9984765,0.0003044968,0.00007963303,0.0002802355,0.0005848073,0.0002743212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392404,0.0001350301,0.8313706,0.00189002,0.00001717276,0.0000234272,0.0185573,0.001394341,0.000004367834,0.0001260312,0.005270949,0.1409715],"study_design_scores_gemma":[0.01163809,0.0009932155,0.7576905,0.000422579,0.0002278669,0.00004671829,0.1322547,0.0532893,0.0001307026,0.001767941,0.04034,0.001198332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487871,0.06075479,0.07287494,0.008947035,0.00494602,0.002476162,0.0002463545,0.0002227679,0.0007448756],"genre_scores_gemma":[0.9897356,0.000347029,0.007061677,0.0006115733,0.0006667324,0.00004027439,0.001177113,0.00004254063,0.0003174709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409485,"threshold_uncertainty_score":0.8945285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210988488287676,"score_gpt":0.3040806440958996,"score_spread":0.2919707592130228,"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."}}