{"id":"W4300002719","doi":"10.1038/s43247-022-00555-x","title":"Clean air policies are key for successfully mitigating Arctic warming","year":2022,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Japan Society for the Promotion of Science; Academy of Finland; Norges Forskningsråd; Nordisk Ministerråd; Knut och Alice Wallenbergs Stiftelse; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Aarhus Universitet; European Commission; Sight Research UK; Environmental Restoration and Conservation Agency; Naturvårdsverket; National Science Foundation","keywords":"Key (lock); Environmental science; Arctic; The arctic; Global warming; Climate change; Computer science; Oceanography; Geology; Computer security","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002506775,0.0001222729,0.0001329438,0.000008020989,0.001563,0.0000311316,0.0008009532,0.00002520727,0.00170116],"category_scores_gemma":[0.00003351628,0.0001308142,0.00008045631,0.0001016991,0.0001920308,0.00009788399,0.0002151772,0.0002308234,0.00005434121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001917202,"about_ca_system_score_gemma":0.00002411115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004213471,"about_ca_topic_score_gemma":0.0001776328,"domain_scores_codex":[0.9989907,0.0001024875,0.0002356657,0.0002091706,0.0001962345,0.0002658075],"domain_scores_gemma":[0.998508,0.0002808092,0.0001638069,0.0009475755,0.000008032905,0.00009171332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005021322,0.0003008582,0.7439715,0.000102149,0.00009906968,0.000005279631,0.003325594,0.1938082,0.001731639,0.0004953949,0.0009399342,0.05517023],"study_design_scores_gemma":[0.000725973,0.0002205913,0.4014537,0.0000472892,0.00006512969,0.00003636993,0.01256661,0.03423556,0.001838621,0.0009384205,0.5472264,0.0006453958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885937,0.001513544,0.0007606986,0.004787075,0.00007899048,0.000462052,0.000280025,0.00006815237,0.003455738],"genre_scores_gemma":[0.9852602,0.0001813816,0.01267921,0.0005178846,0.00004554651,0.00005339799,0.0003548896,0.000006881812,0.0009006191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5462864,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440249817309659,"score_gpt":0.2265113113998374,"score_spread":0.2021088132267408,"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."}}