{"id":"W3115860312","doi":"","title":"Modeling of Aerosol Optical Depth Variability during the 1998 Canadian Forest Fire Smoke Event","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Smoke; Aerosol; Environmental science; Event (particle physics); Meteorology; Remote sensing; Atmospheric sciences; Geography; Geology","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":[0.0004675546,0.001169266,0.0006435188,0.0005543499,0.002328856,0.001158404,0.002337595,0.001436648,0.001089174],"category_scores_gemma":[0.00102462,0.0007367328,0.0008994926,0.0007369207,0.0007447713,0.0006596284,0.0005139546,0.001026318,0.000139643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01296923,"about_ca_system_score_gemma":0.007361403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.951612,"about_ca_topic_score_gemma":0.910649,"domain_scores_codex":[0.9997944,0.00001144943,0.000007324951,0.00004535208,0.00004721604,0.000094379],"domain_scores_gemma":[0.9995996,0.0001021399,0.00003834135,0.0000202204,0.0001466649,0.00009291505],"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":[0.0005246127,0.0003287977,0.06197721,0.0000368141,0.0001394661,0.000283855,0.000140391,0.9250285,0.004982469,0.000764577,0.00137564,0.004417717],"study_design_scores_gemma":[0.0001026094,0.00003754771,0.03651766,0.000004508779,0.00004515666,0.00001704051,0.00006789895,0.9617937,0.000903203,0.00007977617,0.0004021791,0.0000287672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962897,0.0001076146,0.0005160692,0.0001894983,0.00002476506,0.00001950916,0.0007102361,0.00009967761,0.002042896],"genre_scores_gemma":[0.9987508,0.00005000246,0.0003337876,0.00002193575,0.000005671353,0.000007106121,0.0003964391,0.00001610625,0.0004181657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.048388,"threshold_uncertainty_score":0.09734589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500200931110123,"score_gpt":0.2222883511204997,"score_spread":0.2072863418093984,"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."}}