{"id":"W4386997748","doi":"10.1016/j.semperi.2023.151826","title":"Virtual simulations for neonatal education","year":2023,"lang":"en","type":"article","venue":"Seminars in Perinatology","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Debriefing; Neonatal resuscitation; Virtual reality; Medicine; Session (web analytics); Resuscitation; Simulation training; Modality (human–computer interaction); Experiential learning; Instructional simulation; Medical education; Human–computer interaction; Simulation; Computer science; Emergency medicine; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001341504,0.0001048603,0.0001963799,0.0005038541,0.00009463327,0.000005934567,0.00007124277,0.0001646942,0.0006744823],"category_scores_gemma":[0.0005693713,0.0001196134,0.00004978078,0.000673181,0.00007028095,0.00005726844,0.00002103036,0.0001478112,0.00009957184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071317,"about_ca_system_score_gemma":0.0008573678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003569054,"about_ca_topic_score_gemma":0.00002275904,"domain_scores_codex":[0.998993,0.00003812907,0.0002994597,0.0002777543,0.0001129237,0.0002787015],"domain_scores_gemma":[0.9983285,0.001023998,0.00005808964,0.0002594716,0.000235948,0.00009397442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003427327,0.0003298318,0.7679712,0.0004078485,0.0000284211,0.00002224694,0.008814645,0.004574326,0.0001846074,0.02266283,0.03941609,0.1552452],"study_design_scores_gemma":[0.003565201,0.001051144,0.4695564,0.0007157436,0.00006479284,0.000316834,0.02520571,0.09215324,0.001057846,0.01250048,0.3931741,0.0006385738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918048,0.0002254991,0.0001206011,0.005238474,0.001315259,0.0007442232,0.0001110783,0.0001373444,0.0003027094],"genre_scores_gemma":[0.9932846,0.00001778346,0.001450252,0.0006311814,0.0001750257,0.0004300176,0.001477049,0.00002744951,0.002506592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.353758,"threshold_uncertainty_score":0.7385108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02801159612523393,"score_gpt":0.392930817052313,"score_spread":0.3649192209270791,"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."}}