{"id":"W4229440793","doi":"10.3390/ijerph19095603","title":"Urban Air Pollution and Emergency Department Visits for Neoplasms and Outcomes of Blood Forming and Metabolic Systems","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada; Environment and Climate Change Canada","keywords":"Interquartile range; Medicine; Air pollution; Emergency department; Poisson regression; Environmental health; Confidence interval; Air quality index; Ozone; Nitrogen dioxide; Demography; Internal medicine; Meteorology; Geography; Population; Chemistry","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":[0.0006787553,0.0003350079,0.0002933437,0.001067874,0.0003062399,0.0005558282,0.0004059728,0.0003129074,0.002139195],"category_scores_gemma":[0.002666678,0.0001639791,0.0007416593,0.002020994,0.0002540587,0.0002841224,0.0007290887,0.0004923823,0.0001302882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008830504,"about_ca_system_score_gemma":0.001134937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06909855,"about_ca_topic_score_gemma":0.08549197,"domain_scores_codex":[0.9992167,0.0002065867,0.00007777699,0.0001681971,0.0001677829,0.0001629302],"domain_scores_gemma":[0.9974968,0.0005046329,0.001207608,0.000131716,0.0002504872,0.00040861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009291754,0.00001560516,0.9987097,0.00002735094,0.0001425057,0.00002261605,0.00003123415,0.00008742249,0.00003471313,0.00003085201,0.00006372349,0.000741457],"study_design_scores_gemma":[0.000002365609,0.00003021351,0.9994379,0.000008995325,0.00005518735,0.00003739597,0.00007270066,0.0001322283,0.00001744862,0.00002127548,0.0001823841,0.000001829906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935377,0.002127588,0.0002365712,0.00009252693,0.00002459882,0.00001888267,0.002490239,0.000005662391,0.001466129],"genre_scores_gemma":[0.9979196,0.0004370135,0.00009791519,0.00001377173,0.00002859908,0.00001070274,0.001117743,0.000002159448,0.000372622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06909855,"threshold_uncertainty_score":0.1373927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07053051550731389,"score_gpt":0.3842003450377331,"score_spread":0.3136698295304192,"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."}}