{"id":"W827851732","doi":"10.1016/j.healthplace.2015.06.001","title":"Spatial analysis of exposure to traffic-related air pollution at birth and childhood atopic asthma in Toronto, Ontario","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; University of Toronto; SickKids Foundation; Hospital for Sick Children; Wilfrid Laurier University; St. Michael's Hospital","funders":"Natural Resources Canada; Canadian Institutes of Health Research; Health Canada; Canadian Natural Resources Limited","keywords":"Asthma; Residence; Environmental health; Neighbourhood (mathematics); Demography; Medicine; Proxy (statistics); Early childhood; Trap (plumbing); Air pollution; Pediatrics; Geography; Immunology; Psychology; Developmental psychology; Meteorology","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":[0.001021669,0.0001245792,0.0003738455,0.0000748914,0.0001009617,0.000005081158,0.00008823672,0.0001076939,0.0008387184],"category_scores_gemma":[0.0000537486,0.0001216583,0.00003824324,0.0004134749,0.00004813375,0.0001474413,0.00008331607,0.0001351562,0.00004420893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003592763,"about_ca_system_score_gemma":0.0002577835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5008279,"about_ca_topic_score_gemma":0.9664947,"domain_scores_codex":[0.9982771,0.0002148839,0.0004830314,0.000297825,0.0003225712,0.0004046135],"domain_scores_gemma":[0.9989504,0.00003527963,0.0001723968,0.0002086289,0.000007252189,0.0006260518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003705816,0.0004873046,0.6778865,0.00008905095,0.00006912126,0.00000640247,0.1368354,0.140543,0.000009453108,0.0001242874,0.007825978,0.03575287],"study_design_scores_gemma":[0.0007638541,0.0006717386,0.9859322,0.00002257479,0.0000140308,0.000003440416,0.0006221411,0.001286008,0.000004337811,0.00001004625,0.01056348,0.0001061262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921142,0.0003205973,0.0000590648,0.006291384,0.00007820285,0.000379079,0.00001944642,0.00002333443,0.0007146996],"genre_scores_gemma":[0.9949127,0.00003550901,0.0004238394,0.003985262,0.00001326207,0.000006658151,0.00001825432,0.00000707865,0.0005974417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4656669,"threshold_uncertainty_score":0.939495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183485179938438,"score_gpt":0.2799211933783103,"score_spread":0.2615726753844665,"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."}}