{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007396188,0.0002410004,0.0002862842,0.0005501023,0.000344449,0.0006545952,0.0004953048,0.0003735374,0.001330161],"category_scores_gemma":[0.002779874,0.0001721638,0.0006556954,0.001398301,0.0004739214,0.000201679,0.0005680608,0.0004384071,0.00008470969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012217,"about_ca_system_score_gemma":0.002429769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3736352,"about_ca_topic_score_gemma":0.4218807,"domain_scores_codex":[0.9991305,0.0001462715,0.00006854471,0.0001895843,0.0002562102,0.0002088835],"domain_scores_gemma":[0.997997,0.0003917358,0.0008915091,0.0001161264,0.0002763086,0.0003273442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007676348,0.000004723489,0.9985511,0.00001161374,0.0001010206,0.00003074443,0.00004313917,0.00004338709,0.0001625642,0.00002634762,0.00004014522,0.0009086189],"study_design_scores_gemma":[0.000001452691,0.000009994864,0.9997616,0.000004250827,0.00002485989,0.00002557439,0.0000246777,0.00005427978,0.00001583587,0.00001303988,0.00006346234,9.341098e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949276,0.002284874,0.0002488188,0.0003204472,0.00000895761,0.00001246935,0.001181605,0.000005854164,0.001009344],"genre_scores_gemma":[0.9988437,0.0005312019,0.000105209,0.00002419307,0.000005961111,0.00000440258,0.0003506018,0.000001485404,0.0001332239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3736352,"threshold_uncertainty_score":0.7429208,"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."}}