{"id":"W2237747435","doi":"10.1016/s1701-2163(15)30878-1","title":"Maternal Mortality and Its Correlates: Practical Implications of Data Analysis Across Multiple Countries","year":2013,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Medicine; Environmental health; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.1281187,0.001161916,0.003006613,0.005279406,0.002305698,0.004993935,0.00304141,0.001372356,0.001624447],"category_scores_gemma":[0.2820345,0.001100075,0.003097443,0.01741328,0.003730458,0.005417056,0.007009243,0.003833906,0.0002276217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434478,"about_ca_system_score_gemma":0.003768468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979875,"about_ca_topic_score_gemma":0.04843066,"domain_scores_codex":[0.7900752,0.1846206,0.01045253,0.006319878,0.006408134,0.002123736],"domain_scores_gemma":[0.6373366,0.2818336,0.01955307,0.04656952,0.01276025,0.001946996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00027908,0.0001050548,0.9447483,0.0003154475,0.005737805,0.0002688089,0.002144348,0.00468543,0.0002254285,0.007014638,0.002513766,0.03196194],"study_design_scores_gemma":[0.0001056858,0.0004016317,0.9053289,0.001342196,0.003075815,0.0007147643,0.01361972,0.02683806,0.0007953763,0.0373946,0.01021842,0.0001648725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355163,0.007851142,0.1148436,0.01372772,0.0006964498,0.001018891,0.01153322,0.0002330262,0.01457965],"genre_scores_gemma":[0.9621363,0.0009090711,0.03318908,0.0006611816,0.0001518923,0.0005956935,0.001935014,0.00008247737,0.0003392796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281187,"threshold_uncertainty_score":0.6775646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362933570081311,"score_gpt":0.3411366574486823,"score_spread":0.2975073217478691,"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."}}