{"id":"W2943190554","doi":"10.22215/etd/2019-13420","title":"The influence of CMAQ model resolution on predicted air quality and associated health impacts","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"CMAQ; Environmental science; Air quality index; Health impact assessment; Horizontal resolution; Air pollution; Population health; Pollution; Population; Atmospheric sciences; Meteorology; Geography; Environmental health; Public health; Physics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001794894,0.0006803488,0.0003328054,0.0001916669,0.0002543751,0.001043051,0.00067629,0.0007465076,0.001735056],"category_scores_gemma":[0.005318957,0.0003703815,0.0007483599,0.000341833,0.0002977707,0.0007649868,0.000579022,0.0008299181,0.0002490415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005895447,"about_ca_system_score_gemma":0.0005408718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361813,"about_ca_topic_score_gemma":0.007465892,"domain_scores_codex":[0.9994404,0.0002482863,0.00002876472,0.00009490924,0.0001056615,0.00008203048],"domain_scores_gemma":[0.9969053,0.00234819,0.0001629087,0.0002274146,0.0002889417,0.00006726664],"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":[0.0002643525,0.0001356547,0.03129209,0.00008531796,0.0001247834,0.0000628637,0.00003709814,0.9529807,0.004242329,0.0007506689,0.0007654139,0.009258697],"study_design_scores_gemma":[0.0001051373,0.0002940912,0.03208587,0.00005758199,0.0001267099,0.00003309085,0.0001437105,0.9518035,0.01323633,0.0009704279,0.001103522,0.00004010734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781775,0.0003930287,0.009527654,0.0005761766,0.00007529286,0.00006539449,0.002787184,0.0002700638,0.008127636],"genre_scores_gemma":[0.993356,0.0001924292,0.004367722,0.00008557629,0.000008893084,0.00003264752,0.000993886,0.00004450942,0.00091847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361813,"threshold_uncertainty_score":0.02707773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04738008598102218,"score_gpt":0.370411736232065,"score_spread":0.3230316502510428,"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."}}