{"id":"W3198500177","doi":"10.1016/j.cjca.2021.08.017","title":"The Role of National Pregnancy Surveillance Systems in Improving Maternal Mortality and Morbidity: The Next Steps for Canada","year":2021,"lang":"en","type":"editorial","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; The Society of Obstetricians and Gynaecologists of Canada; Mount Sinai Hospital; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Epidemiology; Pregnancy; Maternal death; Confidentiality; Health care; Family medicine; Demography; Pediatrics; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063468,0.0002276941,0.001233575,0.0001308317,0.000132085,0.00006722745,0.0003871729,0.0004030463,0.000001789249],"category_scores_gemma":[0.003683376,0.0001552227,0.00037797,0.0001191311,0.0002540593,0.00005077238,0.00004500478,0.0008596471,8.675947e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009423727,"about_ca_system_score_gemma":0.01989866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.500003,"about_ca_topic_score_gemma":0.872728,"domain_scores_codex":[0.9972249,0.0004767136,0.0008517557,0.0002486458,0.0007740239,0.000423923],"domain_scores_gemma":[0.9956678,0.001359747,0.0005782722,0.0004463684,0.001687968,0.0002599104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002143407,0.000004922197,0.1316534,0.001927349,0.006500822,0.003229543,0.0002874713,0.003130426,0.0000919334,0.0004864809,0.8348103,0.0176631],"study_design_scores_gemma":[0.001063848,0.00008895797,0.0228859,0.001339825,0.0002661255,0.001531431,0.0003875903,0.00007028321,0.00001673187,0.0001325763,0.9720488,0.000167962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01950857,0.3443664,0.0001047987,0.0002620777,0.632448,0.0009493603,0.001142281,0.000003042593,0.001215511],"genre_scores_gemma":[0.7104114,0.002220686,0.00001551344,0.00001237162,0.2870845,0.00004154934,0.00005697844,0.00003970002,0.0001171942],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6909029,"threshold_uncertainty_score":0.9856576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877985910243525,"score_gpt":0.2638396652488487,"score_spread":0.2450598061464135,"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."}}