{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175147,0.0001817006,0.0001413793,0.0002780238,0.000220749,0.0004938448,0.0003243824,0.0002741419,0.004336],"category_scores_gemma":[0.006358203,0.0001010539,0.0001644493,0.0001367908,0.0002036851,0.0003755333,0.0008828132,0.0002679808,0.000401147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138307,"about_ca_system_score_gemma":0.001326929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007080604,"about_ca_topic_score_gemma":0.009655824,"domain_scores_codex":[0.9995027,0.0002284415,0.00002706021,0.00004486126,0.0001170328,0.00008001534],"domain_scores_gemma":[0.9988449,0.0005409269,0.0001835045,0.00008090557,0.0001127921,0.0002370554],"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":[0.001927964,0.01829819,0.3934149,0.0006638477,0.00010219,0.0002929943,0.005879691,0.003232395,0.00771554,0.0002076066,0.004108241,0.5641565],"study_design_scores_gemma":[0.0004669987,0.01211964,0.9536024,0.000608272,0.0001602265,0.0005740448,0.004622915,0.01007133,0.008453432,0.0004166351,0.008849487,0.00005455134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973917,0.00009368473,0.0003038197,0.0001683866,0.00000725261,0.00005384322,0.00002977171,0.00002130852,0.001930193],"genre_scores_gemma":[0.9967498,0.0002291393,0.001771848,0.00006803033,0.00000579291,0.00004485972,0.00008335202,0.000001943189,0.001045238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007080604,"threshold_uncertainty_score":0.01450539,"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."}}