{"id":"W2345124671","doi":"10.1016/j.envres.2016.04.026","title":"Ambient air pollution and adverse birth outcomes: Differences by maternal comorbidities","year":2016,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of New Brunswick; University of Toronto; Dalhousie University; Health Canada; Carleton University; Ottawa Hospital; Environment and Climate Change Canada; Ontario Stroke Network; Institute for Clinical Evaluative Sciences; University of Ottawa; McGill University; Children's Hospital of Eastern Ontario","funders":"Clean Air Regulatory Agenda","keywords":"Medicine; Pregnancy; Interquartile range; Odds ratio; Gestational diabetes; Low birth weight; Obstetrics; Premature birth; Birth weight; Diabetes mellitus; Preeclampsia; Small for gestational age; Gestational age; Gestation; Internal medicine; Endocrinology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007446719,0.0001519866,0.0001575651,0.00005251096,0.0004120106,0.00001947359,0.0002235604,0.00007902509,0.006353201],"category_scores_gemma":[0.0000506384,0.00009711681,0.00003354542,0.00006900453,0.001298935,0.0003390936,0.0004485777,0.0001893086,0.002056442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005283559,"about_ca_system_score_gemma":0.000009804263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009491677,"about_ca_topic_score_gemma":0.00009582812,"domain_scores_codex":[0.997473,0.0002718867,0.0002222616,0.0003684399,0.001002708,0.0006617052],"domain_scores_gemma":[0.9991663,0.0001691433,0.00005042218,0.0002314473,0.000001349871,0.0003813317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005748895,0.0001519529,0.9541911,0.00001291959,0.000008344055,0.000007209641,0.0004542575,0.000001861268,0.01398897,0.00007434013,0.007454619,0.02359698],"study_design_scores_gemma":[0.0004978456,0.0002400125,0.9702688,0.00002122938,0.000001918871,0.000005256334,0.000495752,0.00002064155,0.003328808,0.001046865,0.02393504,0.0001378644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906799,0.0000581626,0.000095086,0.007743966,0.00005963195,0.0002502551,0.0001642505,0.00002484014,0.0009239101],"genre_scores_gemma":[0.9872977,0.0006387058,0.00009409129,0.0009812352,0.00002382761,0.00002817717,0.000004700807,0.00001408636,0.01091753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345911,"threshold_uncertainty_score":0.9987206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703640426016205,"score_gpt":0.3448231591577849,"score_spread":0.2777867548976228,"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."}}