{"id":"W6942275689","doi":"10.14288/1.0103474","title":"Evaluation of a Wildfire Smoke Forecasting System as a Tool for Public Health Protection","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoke; Public health; Air quality index; Poisson regression; Plume; Air pollution; Hazard","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007014206,0.0007478298,0.0004169078,0.0006492807,0.0003401043,0.0008318832,0.00115809,0.0006470245,0.001667424],"category_scores_gemma":[0.01291406,0.0002286113,0.0004084936,0.000470793,0.0001848831,0.0009010131,0.0007282239,0.0004251023,0.0003107527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138276,"about_ca_system_score_gemma":0.001451868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03161885,"about_ca_topic_score_gemma":0.01255892,"domain_scores_codex":[0.9984067,0.000715444,0.0001190686,0.0002857676,0.0003982011,0.00007482413],"domain_scores_gemma":[0.9927375,0.003506562,0.0004297308,0.0005492229,0.002372269,0.000404714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006123326,0.002458731,0.4118987,0.0004799769,0.0005719505,0.0003352395,0.0007081875,0.187882,0.01713092,0.001086565,0.009006781,0.3623176],"study_design_scores_gemma":[0.0002932467,0.002248463,0.0649981,0.0000605441,0.0001789681,0.00005692823,0.0002618134,0.92283,0.005910126,0.0004863169,0.002625873,0.000049574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503205,0.0001787794,0.03671683,0.000946772,0.0001250357,0.001230605,0.002775849,0.004464315,0.003241312],"genre_scores_gemma":[0.9442033,0.00008346624,0.05204042,0.0001509405,0.00003433074,0.0002818219,0.00249357,0.00005598979,0.0006561239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03161885,"threshold_uncertainty_score":0.06286961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2647135302253001,"score_gpt":0.3223398493499634,"score_spread":0.05762631912466326,"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."}}