{"id":"W1996709788","doi":"10.3402/tellusb.v64i0.11596","title":"How does the atmospheric variability drive the aerosol residence time in the Arctic region?","year":2012,"lang":"en","type":"article","venue":"Tellus B","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"Cornell Center for Materials Research; European Commission; National Park Service; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; U.S. Department of Energy","keywords":"Aerosol; Environmental science; Mineral dust; Atmospheric sciences; Arctic; Haze; Atmosphere (unit); Residence time (fluid dynamics); The arctic; Climatology; Sulfate; Meteorology; Geology; Chemistry; Geography; Oceanography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001200613,0.0001603092,0.0001335356,5.877738e-7,0.0004028206,0.0001443297,0.0008003823,0.00006912515,0.001198737],"category_scores_gemma":[0.0003295525,0.00005775984,0.00006985505,0.0003424746,0.0004135165,0.0002603003,0.00003125853,0.0003421718,0.0002100458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000913752,"about_ca_system_score_gemma":0.00003596323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008351539,"about_ca_topic_score_gemma":0.0002712488,"domain_scores_codex":[0.9984776,0.000401554,0.0001645837,0.0002223596,0.0002965701,0.0004373048],"domain_scores_gemma":[0.9975528,0.00157774,0.00009737759,0.0006835478,0.00002192311,0.00006659562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005472662,0.00006958518,0.9796714,0.00003539266,0.0000237423,0.00001895728,0.00661529,0.0005906341,0.0003277857,0.0001749002,0.003844387,0.008573239],"study_design_scores_gemma":[0.0002672171,0.00006658451,0.9743295,0.00005220947,0.00006010051,0.0001656828,0.005178741,0.004196255,0.0008614881,0.003899998,0.01049668,0.000425489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783183,0.0006232364,0.0001216138,0.01270117,0.0002488875,0.0004409125,0.000006262605,0.00003881312,0.007500834],"genre_scores_gemma":[0.9953881,0.00004546944,0.0001787456,0.0008252095,0.0003735974,0.000007871371,0.000006704991,0.000003357766,0.003170946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01706983,"threshold_uncertainty_score":0.9997143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163345066989091,"score_gpt":0.1978249177073806,"score_spread":0.1861914670374897,"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."}}