{"id":"W2897039641","doi":"10.1080/10962247.2018.1537985","title":"Air pollutant source characterization using the revised regional haze tracking metric and a photochemical grid model and implications for regional haze planning","year":2018,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haze; Environmental science; Particulates; Air quality index; Wilderness area; Visibility; Pollutant; Air pollution; Meteorology; Atmospheric sciences; Geography; Ecology; Wilderness","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":[0.001079986,0.0003892152,0.0003194331,0.0003911938,0.0002013892,0.0008868758,0.001032204,0.0003322439,0.0006815607],"category_scores_gemma":[0.002828042,0.0002193699,0.0007398154,0.0006985381,0.0001656218,0.001210032,0.0004843193,0.000555923,0.0001542769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315489,"about_ca_system_score_gemma":0.001550861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1563253,"about_ca_topic_score_gemma":0.101507,"domain_scores_codex":[0.9997315,0.00008319756,0.0000197238,0.00008123774,0.000053421,0.00003103785],"domain_scores_gemma":[0.9992506,0.0001877304,0.0001043495,0.0001215999,0.0002927187,0.00004305985],"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":[0.00006637132,0.00006837325,0.05736501,0.00003291082,0.00007758936,0.00003715567,0.00005225129,0.9176618,0.001451182,0.003741766,0.002168957,0.0172767],"study_design_scores_gemma":[0.00001013849,0.00001237913,0.007889072,0.000003803508,0.00001088997,0.000007451453,0.00002939495,0.9901845,0.0004473834,0.0009071615,0.0004878969,0.000009866208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7345914,0.0003588512,0.2468111,0.001409103,0.0001026056,0.0001919401,0.006526068,0.001195944,0.008812934],"genre_scores_gemma":[0.9400519,0.0001102786,0.0566199,0.00005040196,0.00001531754,0.00005083333,0.002214144,0.0001029676,0.0007841961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563253,"threshold_uncertainty_score":0.3108308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020855390875891,"score_gpt":0.2501159428381752,"score_spread":0.2199073889294163,"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."}}