{"id":"W4244960933","doi":"10.3410/f.727083335.793537514","title":"Faculty Opinions recommendation of Factors underlying the temporal increase in maternal mortality in the united states.","year":2017,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; BC Children's Hospital","keywords":"Medicine; Poisson regression; Demography; Confidence interval; Pregnancy; Mortality rate; Standardized mortality ratio; Relative risk; Maternal death; Obstetrics; Population; Environmental health; Internal medicine; Biology","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":[0.001325996,0.0009628885,0.0009481356,0.003210134,0.0004348369,0.001837882,0.002016719,0.001305819,0.08088664],"category_scores_gemma":[0.01309292,0.0004446687,0.001372074,0.005368796,0.0002230796,0.001113164,0.001629879,0.001637768,0.05472909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258954,"about_ca_system_score_gemma":0.004598556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04259734,"about_ca_topic_score_gemma":0.08384047,"domain_scores_codex":[0.998944,0.0001544355,0.0001875221,0.0002641162,0.0002988394,0.0001510891],"domain_scores_gemma":[0.9944324,0.001340845,0.001187861,0.0006709342,0.001673261,0.0006947459],"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":[0.00006714008,0.00001830606,0.01028974,0.0007075678,0.00007431034,0.00001936988,0.00001356579,0.0001467543,0.00005692428,0.0002704308,0.9845762,0.003759632],"study_design_scores_gemma":[0.0005404941,0.00003384502,0.06351135,0.00130055,0.0001617848,0.0001232464,0.0001238623,0.0009744653,0.0003955573,0.0009478317,0.9318463,0.00004067193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001859592,0.00005220189,0.00003021147,0.0001620518,0.00002202054,0.00001038166,0.9988294,0.00005683044,0.0006508745],"genre_scores_gemma":[0.001041892,0.0001251387,0.0001969532,0.0001163762,0.00002246566,0.00006755421,0.9974693,0.00003259986,0.0009278147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08088664,"threshold_uncertainty_score":0.2705927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140502588024347,"score_gpt":0.4407308331441375,"score_spread":0.3266805743417028,"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."}}