{"id":"W2096882168","doi":"10.5194/acp-12-10387-2012","title":"Impact of urban parameterization on high resolution air quality forecast with the GEM – AQ model","year":2012,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Environmental science; Air quality index; Wind speed; Meteorology; Urban area; Pollutant; Atmospheric sciences; Urban heat island; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008203337,0.00009762377,0.0000874004,5.546125e-8,0.00007224295,0.000006194927,0.00005600467,0.00003983499,0.0001797367],"category_scores_gemma":[0.000004866536,0.00006206459,0.00003267148,0.00009723072,0.0001195302,0.0001533209,0.0000207835,0.00006421513,0.000009077718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000761769,"about_ca_system_score_gemma":0.000007923299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001524359,"about_ca_topic_score_gemma":0.000001258418,"domain_scores_codex":[0.999488,0.00001992815,0.00009034108,0.0001195955,0.0001409511,0.0001411617],"domain_scores_gemma":[0.9996487,0.00003402734,0.00007956063,0.0001822114,0.000006587782,0.00004891201],"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":[0.0004323816,0.0006493294,0.39347,0.000101479,0.00009589779,3.358948e-7,0.002857292,0.401349,0.1265094,0.000402723,0.004396025,0.06973615],"study_design_scores_gemma":[0.0007344646,0.0002340236,0.6375483,0.00003158437,0.00007177441,0.000004540955,0.00007509984,0.3185459,0.04105249,0.0009669384,0.0003471627,0.0003877202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900091,0.00001193052,0.006968068,0.000024643,0.000005758438,0.00008289565,0.00001407203,0.00001196337,0.002871572],"genre_scores_gemma":[0.997393,0.000003916782,0.001771364,0.00002908554,0.00005873354,0.000009282109,0.00003135516,0.000007903699,0.0006954186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440783,"threshold_uncertainty_score":0.2530921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282210299112853,"score_gpt":0.2307469993109546,"score_spread":0.2179248963198261,"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."}}