{"id":"W2016843867","doi":"10.1002/env.1088","title":"Mixed deterministic statistical modelling of regional ozone air pollution","year":2011,"lang":"en","type":"article","venue":"Environmetrics","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Advection; Air pollution; Environmental science; Pollution; Statistical model; Pollutant; Ozone; Meteorology; Bayesian probability; Econometrics; Air quality index; Statistics; Mathematics; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004308943,0.0001175939,0.000175208,0.00009142317,0.0001028674,0.000002717603,0.0001610454,0.0001057527,0.001691342],"category_scores_gemma":[0.0001460169,0.0001163755,0.00004019236,0.0003416572,0.0003591928,0.00012534,0.00009137698,0.0001468346,0.0004998946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384778,"about_ca_system_score_gemma":0.00001502007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004097851,"about_ca_topic_score_gemma":0.00001240991,"domain_scores_codex":[0.9986004,0.00008891511,0.000349914,0.0002373554,0.0004106744,0.000312783],"domain_scores_gemma":[0.9992376,0.000148646,0.0001487958,0.0002403206,0.000002867775,0.0002217937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001204658,0.005832091,0.2185172,0.0005885607,0.0001280786,0.0002027784,0.01481051,0.3364654,0.001369656,0.07469123,0.05444056,0.2917492],"study_design_scores_gemma":[0.0006235135,0.0006097552,0.8896315,0.00001957354,0.00005515107,0.00002139265,0.0001995388,0.0783219,0.0008788156,0.01274457,0.01645489,0.0004394504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2512284,0.00006099681,0.7444643,0.0002039703,0.00009653639,0.0001385431,0.00004013151,0.00002431042,0.003742831],"genre_scores_gemma":[0.9163773,0.00007795189,0.08262412,0.0007004364,0.00002374499,0.000003538882,0.000009969875,0.00001269742,0.0001702106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6711142,"threshold_uncertainty_score":0.9992213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2054713040773286,"score_gpt":0.2864026173176717,"score_spread":0.08093131324034306,"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."}}