{"id":"W2992180822","doi":"10.1183/13993003.00913-2019","title":"Early life exposure to air pollution and incidence of childhood asthma, allergic rhinitis and eczema","year":2019,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Health Canada; Statistics Canada; Institute for Clinical Evaluative Sciences; Dalhousie University; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Health Canada; U.S. Geological Survey; Institute for Clinical Evaluative Sciences","keywords":"Asthma; Medicine; Interquartile range; Incidence (geometry); Hazard ratio; Environmental health; Confounding; Allergy; Pediatrics; Proportional hazards model; Immunology; 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":[0.001472828,0.0001209298,0.0001681672,0.00006500367,0.0001912702,0.00004251937,0.0001619561,0.00003675261,0.0004617163],"category_scores_gemma":[0.0001606981,0.0001078203,0.00002960919,0.0001175002,0.0001041965,0.0003675157,0.0001909561,0.0002809881,0.0004126381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004235355,"about_ca_system_score_gemma":0.00004057723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002359307,"about_ca_topic_score_gemma":0.00001286088,"domain_scores_codex":[0.9983386,0.0004742292,0.0003834347,0.0002123082,0.0003326145,0.0002587889],"domain_scores_gemma":[0.9989656,0.00003266242,0.0002118154,0.0001713796,0.00001483308,0.0006037581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003948454,0.0002881194,0.8061028,0.0001662156,0.00006241519,0.000273336,0.02681861,0.003337535,0.01324645,0.0002966393,0.02089874,0.1281143],"study_design_scores_gemma":[0.0005143841,0.001104758,0.9726555,0.00008041938,0.00000334482,0.00009185314,0.000163773,0.000007255914,0.00006050526,0.00004515363,0.02515256,0.0001204395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938849,0.0004596661,0.00009437981,0.001244065,0.00008533914,0.0001508879,0.00000513809,0.00001288428,0.004062708],"genre_scores_gemma":[0.9869289,0.00008071106,0.0005502805,0.01220422,0.0001136979,4.163609e-7,1.707104e-7,0.0000169854,0.0001046062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665528,"threshold_uncertainty_score":0.5303765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022789012729468,"score_gpt":0.2520769807659308,"score_spread":0.2318490906386361,"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."}}