{"id":"W274123038","doi":"","title":"Addressing the Rates of Maternal Morbidity and Mortality : A Novel Approach within the Canadian Experience(3) Causes and Prevention of Maternal Mortality,Global Exchange of Knowledge for the Promotion of Women's Health and Welfare,Joint FIGO-JSOG Workshop for Junior Fellows) :","year":2013,"lang":"en","type":"article","venue":"日本産科婦人科學會雜誌","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Maternal morbidity; Mortality rate; Demography; Economic growth; Gerontology; Environmental health; Pregnancy; Sociology; Economics","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":[0.00985582,0.0009462035,0.000574408,0.005383237,0.0131341,0.009199399,0.003437421,0.00412934,0.00594139],"category_scores_gemma":[0.01617805,0.0004544534,0.0009037537,0.005059514,0.006441846,0.002908308,0.006031058,0.00664368,0.0003065729],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1095274,"about_ca_system_score_gemma":0.3044989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912543,"about_ca_topic_score_gemma":0.9970564,"domain_scores_codex":[0.9937051,0.001527207,0.0002580527,0.0004085754,0.002182732,0.001918364],"domain_scores_gemma":[0.9887671,0.001938261,0.0005350481,0.0002376563,0.004926033,0.003596006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001561909,0.00028567,0.1118406,0.001579261,0.0002966978,0.001270506,0.04817924,0.002095663,0.001574736,0.2266336,0.2873021,0.3187857],"study_design_scores_gemma":[0.00004427996,0.0001074451,0.1729107,0.001867544,0.0003231764,0.0005732524,0.08493053,0.001637451,0.001135587,0.03175788,0.7044066,0.0003056026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03292641,0.02600434,0.007167224,0.8509663,0.003731463,0.0002268313,0.001216359,0.0001711636,0.07759],"genre_scores_gemma":[0.7390003,0.06620024,0.04304467,0.08701044,0.004128496,0.0003115823,0.001002491,0.0002004159,0.0591013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8904726,"threshold_uncertainty_score":0.7946808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.227294606505311,"score_gpt":0.3916578203024523,"score_spread":0.1643632137971412,"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."}}