{"id":"W2782628790","doi":"10.1016/s2542-5196(17)30185-7","title":"Effect of air quality alerts on human health: a regression discontinuity analysis in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"The Lancet Planetary Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Institute for Clinical Evaluative Sciences; McGill University; McGill University Health Centre; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Emergency department; Regression discontinuity design; Asthma; Environmental health; Air quality index; Population; COPD; Air pollution; Cohort; Emergency medicine; Public health; Demography; Geography; Nursing","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":[0.005497226,0.0001870458,0.000894892,0.00002780296,0.0003632022,0.000005097895,0.0003588464,0.00005412374,0.0008571034],"category_scores_gemma":[0.00006872008,0.0001142931,0.00005111707,0.0003006925,0.0001787034,0.00009260567,0.00007386626,0.0002574425,0.00001734014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427459,"about_ca_system_score_gemma":0.0002317764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900937,"about_ca_topic_score_gemma":0.9985588,"domain_scores_codex":[0.9955043,0.002249644,0.0006618444,0.0003329803,0.0005334993,0.0007176828],"domain_scores_gemma":[0.9980615,0.0004396466,0.0004905662,0.0006930892,0.000004157689,0.0003110917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001113747,0.0001379562,0.8333403,0.0006457288,0.00006771899,0.00000709033,0.003664816,0.0008692456,0.000009540109,0.0001964539,0.1112468,0.04870058],"study_design_scores_gemma":[0.0005185794,0.00132723,0.9931903,0.0001128411,0.00001164546,0.000001271271,0.00009328871,0.0003950499,0.00004311969,0.00004891287,0.004146834,0.0001108828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678932,0.0002713437,0.00001179102,0.02835339,0.0001195376,0.0005339457,0.0001771774,0.00002301507,0.002616566],"genre_scores_gemma":[0.9809786,0.0001196663,0.00006006542,0.01847364,0.0001602273,0.000005816837,0.0001195219,0.000006633064,0.00007583392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15985,"threshold_uncertainty_score":0.9384681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729334841564415,"score_gpt":0.3994905778832519,"score_spread":0.3421972294676077,"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."}}