{"id":"W2997047384","doi":"","title":"Decadal Changes in Seasonal Variation of Atmospheric Haze over the Eastern United States: Connections with Anthropogenic Emissions and Implications for Aerosol Composition","year":2018,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Seasonality; Environmental science; Haze; Aerosol; Atmospheric sciences; Climatology; Visibility; Particulates; Air quality index; Spatial distribution; Geography; Meteorology; Chemistry; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003206405,0.000109509,0.00009868468,0.0005583168,0.0001725614,0.0003252457,0.0001410543,0.0001839232,0.0005953239],"category_scores_gemma":[0.0006859252,0.00008008663,0.000127057,0.0006904428,0.0001450253,0.0002492601,0.00025842,0.0001687602,0.00007903811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835223,"about_ca_system_score_gemma":0.0001730593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03685042,"about_ca_topic_score_gemma":0.05790859,"domain_scores_codex":[0.9999352,0.00001334367,0.000006967199,0.00001927652,0.000009481167,0.00001572923],"domain_scores_gemma":[0.9996183,0.00005881525,0.0001592797,0.00003099674,0.0000844785,0.00004804533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003723958,0.00001548677,0.9948331,0.00000879122,0.00004650848,0.00003300752,0.0001270001,0.0001751286,0.0005191129,0.00003070448,0.0002350606,0.003938847],"study_design_scores_gemma":[4.673554e-7,0.000003277032,0.9996719,0.000001659193,0.000003968776,0.000007126676,0.0000547519,0.0001160251,0.00002866531,0.000006854886,0.0001045353,7.975278e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989353,0.0002463017,0.00005001856,0.00007160634,0.000006061919,0.000001288643,0.000406071,0.000005426484,0.0002779184],"genre_scores_gemma":[0.9994265,0.00009174838,0.00004480628,0.000016158,0.000005620837,0.000001408367,0.0003158879,0.000001129819,0.00009684463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03685042,"threshold_uncertainty_score":0.07327187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467084346489626,"score_gpt":0.2445746041953722,"score_spread":0.2299037607304759,"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."}}