{"id":"W4231321057","doi":"10.1023/a:1008169928810","title":"Regional Air Quality Modelling in Canada – Applications for Policy and Real-Time Prediction","year":2000,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Australian Government; U.S. Environmental Protection Agency","keywords":"Particulates; Atmosphere (unit); Acid deposition; Environmental science; Pollutant; Air quality index; Deposition (geology); Ozone; Acid rain; Air pollution; Sulfur dioxide; Environmental chemistry; Atmospheric sciences; Meteorology; Environmental protection; Chemistry; Geography; Soil science; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001352299,0.000908353,0.0008163137,0.0006867151,0.001712186,0.002470358,0.002022712,0.0009518955,0.003498759],"category_scores_gemma":[0.002599235,0.0005632521,0.001291531,0.001955926,0.0006077153,0.001223155,0.0007498647,0.001010552,0.000389916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04374215,"about_ca_system_score_gemma":0.0546294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966459,"about_ca_topic_score_gemma":0.9950503,"domain_scores_codex":[0.999234,0.0001811274,0.00004000468,0.0001864942,0.0001632288,0.000195175],"domain_scores_gemma":[0.9985892,0.0002331961,0.00006687543,0.00006363085,0.0008795091,0.0001674965],"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":[0.0001363868,0.00007829494,0.0162174,0.00007396574,0.0001591547,0.00006549065,0.0001011674,0.9544698,0.0004840893,0.003402705,0.006723749,0.0180879],"study_design_scores_gemma":[0.00003801416,0.00001979969,0.01115249,0.00002077715,0.00006996343,0.00001040199,0.0002580143,0.9834674,0.0003693783,0.001153685,0.003398398,0.0000417339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578995,0.003240781,0.06680334,0.009447312,0.0004515592,0.0003288404,0.02519746,0.002664875,0.03396624],"genre_scores_gemma":[0.9675712,0.0007982865,0.01892713,0.0001795325,0.00003094401,0.00006274501,0.003498847,0.0001690713,0.008762275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04374215,"threshold_uncertainty_score":0.317373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295129362314792,"score_gpt":0.2380593929564343,"score_spread":0.2251080993332864,"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."}}