{"id":"W2029760154","doi":"10.1007/s10995-014-1576-y","title":"International Comparison of Common Risk Factors of Preterm Birth Between the U.S. and Canada, Using PRAMS and MES (2005–2006)","year":2014,"lang":"en","type":"article","venue":"Maternal and Child Health Journal","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Medicine; Demography; Risk factor; Relative risk; Attributable risk; Population; Public health; Pregnancy; Risk assessment; Premature birth; Gestation; Obstetrics; Environmental health; Confidence interval; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003206207,0.0001061355,0.0003638123,0.00005535348,0.0002308685,0.00002861605,0.00007367529,0.00003797487,0.00001824443],"category_scores_gemma":[0.00002126917,0.00006545108,0.00002560579,0.00001996897,0.0001032029,0.00005397084,0.00004434905,0.0003185745,3.563596e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004390196,"about_ca_system_score_gemma":0.0001223454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1144741,"about_ca_topic_score_gemma":0.01627952,"domain_scores_codex":[0.9989096,0.0000962484,0.0004442423,0.00009497555,0.0002661876,0.00018874],"domain_scores_gemma":[0.9990602,0.0000670041,0.0005045247,0.00007317658,0.00004513857,0.0002500172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006131661,0.000009921788,0.9873568,0.0001472069,0.00005968518,0.000001293301,0.0004219776,0.000003617538,0.00001168705,0.00001405732,0.00009556077,0.01181692],"study_design_scores_gemma":[0.0007973217,0.0002660527,0.9941583,0.0004132321,0.00004428667,0.0003352894,0.0001440996,0.0006106842,0.0004522495,0.00007938911,0.002642103,0.00005702336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967633,0.00131147,0.00007710756,0.001344365,0.0001585754,0.0000952471,0.0001181727,0.000003245937,0.0001285005],"genre_scores_gemma":[0.9976969,0.001742412,0.0001188153,0.0001889526,0.0002276518,3.304665e-7,0.000005079565,0.000007639172,0.00001225439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09819462,"threshold_uncertainty_score":0.9084356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716785417827674,"score_gpt":0.2895821750458331,"score_spread":0.2724143208675563,"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."}}