{"id":"W2971864584","doi":"","title":"The October 2017 North Bay Fires: Applying New Observational and Prediction Tools to Smoke and Air Quality Forecasting","year":2019,"lang":"en","type":"article","venue":"99th American Meteorological Society Annual Meeting","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Meteorology; Air quality index; Bay; Smoke; Observational study; Climatology; Geography; Oceanography; Statistics; Geology; Mathematics","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":[0.002234753,0.000584901,0.0004342764,0.0009508623,0.0003709035,0.001432209,0.0007271116,0.0007434623,0.0007896119],"category_scores_gemma":[0.006460104,0.0003442985,0.0005552727,0.0007289752,0.0002399677,0.001362991,0.0007880759,0.001189108,0.0002767897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005881924,"about_ca_system_score_gemma":0.0009191933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06829625,"about_ca_topic_score_gemma":0.1081824,"domain_scores_codex":[0.9995317,0.0001131178,0.00005081675,0.0001084504,0.0001483426,0.00004761375],"domain_scores_gemma":[0.9978672,0.0009653717,0.000229603,0.0002890832,0.0004857591,0.0001628527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004913057,0.0009987279,0.4420156,0.00009953671,0.0003767102,0.0001818808,0.0003066432,0.3138425,0.003033954,0.001427137,0.01109093,0.226135],"study_design_scores_gemma":[0.00002709372,0.00004718614,0.05868063,0.00002559193,0.00005074214,0.00001516455,0.0001080246,0.9374425,0.001086418,0.0009857408,0.001506348,0.00002445749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416504,0.0006277776,0.04389954,0.001978686,0.0006657909,0.000117838,0.004153701,0.002215435,0.004690897],"genre_scores_gemma":[0.972487,0.0002020067,0.02340472,0.00009606054,0.0001490793,0.00003254038,0.002893182,0.00007158929,0.0006637551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9317037,"threshold_uncertainty_score":0.1357974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05917565127595629,"score_gpt":0.2787273633015503,"score_spread":0.2195517120255941,"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."}}