{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005027,0.0006424595,0.0008261997,0.0009132508,0.0004000146,0.001284955,0.001786817,0.001093133,0.0009930548],"category_scores_gemma":[0.003061288,0.0005984756,0.001025456,0.00111669,0.0009100556,0.0008556515,0.001063839,0.0008394808,0.0001588586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505452,"about_ca_system_score_gemma":0.001504277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04484893,"about_ca_topic_score_gemma":0.03499315,"domain_scores_codex":[0.9992736,0.0002621683,0.00004057261,0.0001529326,0.0001822326,0.00008843814],"domain_scores_gemma":[0.9986295,0.0006863524,0.0003455064,0.00008645531,0.0001901249,0.00006220246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009383817,0.00001115519,0.001188331,0.00001981532,0.00003558916,0.00003144527,0.00002274056,0.9514751,0.0004954297,0.04433555,0.0002573769,0.002118045],"study_design_scores_gemma":[0.000002614667,0.000004597395,0.0002320991,0.000001477849,0.000005602539,0.000004862281,0.000003157674,0.9942396,0.00005680521,0.0051931,0.0002518238,0.000004375638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069073,0.0007960955,0.8852005,0.0008823305,0.00006936265,0.00005017324,0.001215723,0.0003601709,0.00451831],"genre_scores_gemma":[0.9358655,0.0007970612,0.05611464,0.0001616639,0.00009262386,0.0001861588,0.0007339806,0.00007316055,0.005975246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04484893,"threshold_uncertainty_score":0.08917576,"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."}}