{"id":"W6926428280","doi":"10.25384/sage.c.4671551","title":"Navigating severe maternal morbidity using big data: Green, yellow, and red flags for researchers","year":2019,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maternal morbidity; Psychological intervention; Pregnancy; Myocardial infarction; Perinatal mortality; Maternal death; Stroke (engine); Disease; MEDLINE","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":[],"consensus_categories":[],"category_scores_codex":[0.02451153,0.001324703,0.001308132,0.00619774,0.002311398,0.01486799,0.00253698,0.004250187,0.06725237],"category_scores_gemma":[0.1129124,0.001027353,0.001930187,0.01219745,0.002693663,0.01475088,0.008405093,0.006619575,0.03747937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367484,"about_ca_system_score_gemma":0.005435109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127516,"about_ca_topic_score_gemma":0.009661986,"domain_scores_codex":[0.9898158,0.005099874,0.001236788,0.0007186014,0.002485016,0.0006439296],"domain_scores_gemma":[0.8924698,0.0545705,0.006340344,0.01323691,0.02141878,0.0119637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009614105,0.00002310417,0.003430695,0.0007661664,0.00005186134,0.00004490472,0.0004611339,0.0000840833,0.0001558264,0.006859794,0.8693163,0.11871],"study_design_scores_gemma":[0.00006678684,0.0000463081,0.007593127,0.005361498,0.0000776679,0.0001288431,0.002603162,0.0005679041,0.0003731268,0.04452215,0.9385504,0.0001090726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00304564,0.02939965,0.01797533,0.8104623,0.03150757,0.0004377888,0.04570267,0.008723995,0.05274515],"genre_scores_gemma":[0.09158785,0.1170758,0.2211804,0.3295913,0.06777599,0.003320905,0.07842563,0.01406559,0.07697657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06725237,"threshold_uncertainty_score":0.2249816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3573874536988102,"score_gpt":0.400096373905984,"score_spread":0.04270892020717382,"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."}}