{"id":"W6890057051","doi":"10.3389/fped.2020.599638.s002","title":"Data_Sheet_2_Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge.docx","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neonatal resuscitation; Resuscitation; Gee; Simulation training; Intensive care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004657744,0.0009808401,0.00139848,0.00294769,0.001019484,0.002916251,0.002449051,0.001780847,0.814352],"category_scores_gemma":[0.03168996,0.0006867374,0.001408413,0.003459813,0.0004624997,0.002169665,0.001377416,0.001531737,0.2207574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273745,"about_ca_system_score_gemma":0.005261788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320021,"about_ca_topic_score_gemma":0.01832388,"domain_scores_codex":[0.997377,0.0006141558,0.0004715399,0.0001765331,0.001044359,0.0003163605],"domain_scores_gemma":[0.9704781,0.01408012,0.002113926,0.001334383,0.01029251,0.001701016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008755139,0.0002258579,0.0008893212,0.003029712,0.00002192233,0.00002437428,0.00003954261,0.0001503484,0.00010518,0.0005211953,0.9640291,0.03008797],"study_design_scores_gemma":[0.00589053,0.0005809847,0.02778351,0.005238076,0.00005460114,0.0001008078,0.0003309403,0.0006335081,0.001264719,0.001701512,0.9563116,0.0001091435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009091847,0.0001463574,0.0005376614,0.0021676,0.0006029105,0.005452897,0.9448844,0.001525017,0.04377409],"genre_scores_gemma":[0.0142261,0.001358239,0.01297518,0.006768749,0.0008766348,0.05087468,0.7384334,0.002123453,0.1723636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.814352,"threshold_uncertainty_score":0.2648042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434927163951736,"score_gpt":0.3194755938399609,"score_spread":0.2851263222004435,"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."}}