{"id":"W4220876157","doi":"10.1175/waf-d-21-0064.1","title":"Operational Evaluation of a Wildfire Air Quality Model from a Forecaster Point of View","year":2022,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Forecast skill; Downscaling; Event (particle physics); Metric (unit); Forecast verification; Computer science; Scale (ratio); Meteorology; Quality (philosophy); Air quality index; Environmental science; Geography; Precipitation; Marketing; Cartography; Business","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":[0.004234049,0.0007372346,0.0005150946,0.0004542561,0.0005675231,0.001201317,0.001062502,0.0006048627,0.001132701],"category_scores_gemma":[0.005284476,0.000234039,0.0004652565,0.0003253632,0.0004723141,0.0008195076,0.0005410675,0.0007923198,0.0001655503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004083326,"about_ca_system_score_gemma":0.002570143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2261812,"about_ca_topic_score_gemma":0.1606357,"domain_scores_codex":[0.9990075,0.0002902256,0.00006014001,0.0001837194,0.0003615797,0.00009681428],"domain_scores_gemma":[0.9971272,0.0008445902,0.0001977283,0.0002837337,0.001302923,0.0002438547],"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":[0.0009582734,0.0007774135,0.05979333,0.00007800443,0.0001247423,0.0001612942,0.0002242026,0.9031656,0.007301725,0.0008776353,0.001553275,0.02498452],"study_design_scores_gemma":[0.00008448232,0.0005383205,0.0106671,0.0000108705,0.00003163226,0.00001696605,0.000146113,0.9839792,0.003752922,0.000152187,0.0005992616,0.00002094022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907027,0.00005814062,0.00501371,0.0001367769,0.00002577245,0.00008818872,0.0004414043,0.0004140406,0.003119244],"genre_scores_gemma":[0.9947329,0.00002017844,0.004449076,0.00001998702,0.000003552937,0.00001566364,0.0004000634,0.00001614904,0.0003424996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2261812,"threshold_uncertainty_score":0.4497293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05807515875260744,"score_gpt":0.2735601200733737,"score_spread":0.2154849613207662,"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."}}