{"id":"W35938622","doi":"10.34917/4332557","title":"Increasing Labor and Delivery Nurse Knowledge of Triaging Non-Obstetrical Medical Emergencies in Pregnant Women Through the Use of Simulation","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; Medical Research Council; UK Research and Innovation; Social Sciences and Humanities Research Council of Canada; European Commission; National Institutes of Health; UNICEF","keywords":"Nurse-Midwives; Pregnancy; Medicine; Obstetrics; Obstetric labor complication; Nursing; Medical emergency","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02135989,0.0003615203,0.0005807143,0.0009267445,0.0008560646,0.002725501,0.001432489,0.0007241709,0.007303289],"category_scores_gemma":[0.1130634,0.0003786359,0.001015354,0.0005293352,0.001010628,0.003459824,0.002883156,0.001590795,0.0004412897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338168,"about_ca_system_score_gemma":0.008027065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007618239,"about_ca_topic_score_gemma":0.0109809,"domain_scores_codex":[0.9765925,0.02011054,0.0008694445,0.0006291019,0.001256672,0.0005418028],"domain_scores_gemma":[0.9216518,0.06849403,0.003368926,0.002423187,0.002623133,0.00143898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001606925,0.01065683,0.2168441,0.004775118,0.0003406504,0.0005182463,0.1849606,0.004970951,0.002148995,0.005621103,0.004207866,0.5633487],"study_design_scores_gemma":[0.001823026,0.02349363,0.3943189,0.03018797,0.002120689,0.001460599,0.3197325,0.06248553,0.01228775,0.04059242,0.1107777,0.0007192844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559358,0.0006086402,0.01250339,0.005008045,0.00009942811,0.002132778,0.0003140421,0.0001052995,0.02329244],"genre_scores_gemma":[0.971912,0.001176743,0.02314871,0.0004722865,0.00002226085,0.001973711,0.0001192495,0.00001759256,0.001157483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135989,"threshold_uncertainty_score":0.1129633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892180628128942,"score_gpt":0.2961125401823228,"score_spread":0.2271907339010334,"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."}}