{"id":"W2253377212","doi":"10.5194/acp-16-7587-2016","title":"Wildfires in northern Eurasia affect the budget of black carbon in the Arctic – a 12-year retrospective synopsis (2002–2013)","year":2016,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Rocky Mountain Research Station; U.S. Forest Service; Grand Équipement National De Calcul Intensif","keywords":"Arctic; Affect (linguistics); The arctic; Environmental science; Carbon black; Climatology; Physical geography; Geography; Geology; Oceanography; Chemistry; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001884455,0.000198279,0.0001996004,9.434839e-8,0.00005120048,0.00001116508,0.0002973585,0.00007219348,0.0002331764],"category_scores_gemma":[0.00002154995,0.0001088869,0.00005712183,0.0002508344,0.0006994421,0.00008086967,0.0001049311,0.0001732627,0.00001532213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169858,"about_ca_system_score_gemma":0.000007879295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192163,"about_ca_topic_score_gemma":0.0005074751,"domain_scores_codex":[0.9989094,0.00006143774,0.000194287,0.0003110237,0.0002567213,0.0002671922],"domain_scores_gemma":[0.9993531,0.0001305822,0.0001022752,0.0003704001,0.000002956929,0.00004067309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003343858,0.0001199514,0.9800544,0.00001980546,0.00001391831,0.000006540976,0.001093526,0.003589425,0.003787815,0.00001101049,0.00003450496,0.01123567],"study_design_scores_gemma":[0.0005161407,0.00005573433,0.9905622,0.00005133388,0.00002289272,0.000007567643,0.0007326557,0.005931196,0.0004898934,0.001236588,0.0001873591,0.0002064289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940896,0.00005530076,0.000099568,0.0002904064,0.00001484306,0.0001789839,0.000002239034,0.000008264262,0.005260815],"genre_scores_gemma":[0.9983558,0.0002368527,0.0004920338,0.00006688511,0.00003955066,0.0000209611,0.0000010192,0.00001744504,0.0007694727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102925,"threshold_uncertainty_score":0.4440279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00327028029706172,"score_gpt":0.1782013319458832,"score_spread":0.1749310516488215,"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."}}