{"id":"W2460117645","doi":"10.1002/2016jd024849","title":"Seasonality of global and Arctic black carbon processes in the Arctic Monitoring and Assessment Programme models","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Office of Science; Battelle; Naturvårdsverket; U.S. Department of Energy","keywords":"Arctic; Scavenging; Environmental science; Seasonality; Climatology; Atmospheric sciences; Troposphere; Deposition (geology); Annual cycle; Latitude; Oceanography; Geography; Geology; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001129951,0.0005536832,0.0003035354,0.0003962732,0.0004311921,0.0009180619,0.0007251236,0.0005456169,0.000918741],"category_scores_gemma":[0.001293561,0.0002790124,0.0007396075,0.0007513411,0.0002551633,0.0006567107,0.000411448,0.0004121352,0.0001095801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538384,"about_ca_system_score_gemma":0.0009419597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09229711,"about_ca_topic_score_gemma":0.05380809,"domain_scores_codex":[0.9997451,0.00009306231,0.00001187208,0.00007069268,0.00003913288,0.00004016084],"domain_scores_gemma":[0.9996315,0.000175582,0.00005978774,0.00003352502,0.00006976302,0.00002978435],"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":[0.000113228,0.0000481598,0.04897341,0.00003099941,0.0001303324,0.00006679373,0.0000723358,0.9413806,0.0009909822,0.002123026,0.001206767,0.004863272],"study_design_scores_gemma":[0.00002673909,0.00003251791,0.02417951,0.00001013073,0.00004126548,0.00002310802,0.00004748573,0.9722658,0.0006739981,0.0009067314,0.001772141,0.00002053438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832203,0.0002346487,0.006316337,0.0003299315,0.00002852903,0.00002891194,0.003707208,0.0003175942,0.005816549],"genre_scores_gemma":[0.9942794,0.0001248681,0.002609291,0.00003205802,0.000008522947,0.00003270216,0.002027306,0.0000431998,0.0008427795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09229711,"threshold_uncertainty_score":0.1835198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05456000866280217,"score_gpt":0.3296197041278335,"score_spread":0.2750596954650313,"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."}}