{"id":"W2751826666","doi":"10.1080/10903127.2017.1347222","title":"Safety Events in High Risk Prehospital Neonatal Calls","year":2017,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Incidence (geometry); Emergency medicine; Resuscitation; Airway management; Accidental; Medical emergency; Patient safety; Airway; Emergency medical services; Emergency department; Incident report; Risk assessment; Anesthesia; Health care","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":[0.0011308,0.0002109223,0.0002162787,0.001181895,0.0003866317,0.0004997046,0.0003714203,0.0004132735,0.001048957],"category_scores_gemma":[0.01097951,0.000128017,0.0002498835,0.0008263383,0.0003431604,0.0005684206,0.0006369174,0.0003907945,0.0001398162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155634,"about_ca_system_score_gemma":0.0006987446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626924,"about_ca_topic_score_gemma":0.002675129,"domain_scores_codex":[0.9979864,0.0005981354,0.0004358717,0.0002193118,0.0005972872,0.0001628075],"domain_scores_gemma":[0.9837872,0.00317395,0.01058692,0.0002971508,0.001438283,0.0007164896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006946135,0.00002196554,0.9952983,0.00004633813,0.00001739349,0.0005322592,0.0001903804,0.0001169471,0.0001697264,0.0000192397,0.000127418,0.003390464],"study_design_scores_gemma":[0.000002826326,0.0001626431,0.9960474,0.00003713157,0.00001066672,0.002345894,0.0005556358,0.0002735333,0.0002217404,0.00001616803,0.0003200061,0.0000063088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988048,0.000369446,0.000207429,0.0000508296,0.000007706759,0.00002033635,0.0001876535,0.000008106756,0.0003436395],"genre_scores_gemma":[0.9992193,0.0001603408,0.0002310747,0.00002278817,0.0000151961,0.00001204706,0.0002892693,0.000001806574,0.00004815209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002626924,"threshold_uncertainty_score":0.005980313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021990027650632,"score_gpt":0.2794243989867755,"score_spread":0.2692044987102691,"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."}}