{"id":"W4288050313","doi":"10.1126/sciadv.abo2405","title":"Enhanced simulated early 21st century Arctic sea ice loss due to CMIP6 biomass burning emissions","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Fonds de recherche du Québec – Nature et technologies; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; U.S. Department of Energy; National Center for Atmospheric Research; National Science Foundation","keywords":"Coupled model intercomparison project; Environmental science; Climatology; Sea ice; Arctic; Arctic geoengineering; Forcing (mathematics); Arctic ice pack; Arctic sea ice decline; Climate sensitivity; Biomass burning; Atmospheric sciences; Climate change; Climate model; Oceanography; Aerosol; Meteorology; Sea ice thickness; Geology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006431831,0.0005930309,0.0003123936,0.0002620214,0.0002903612,0.0005949558,0.000573691,0.0009724735,0.0009803482],"category_scores_gemma":[0.001169545,0.0002344835,0.0006184481,0.0004767801,0.0003533365,0.0004779556,0.0003682688,0.000512487,0.0001156491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007961072,"about_ca_system_score_gemma":0.000522994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.028851,"about_ca_topic_score_gemma":0.01569941,"domain_scores_codex":[0.9998727,0.00003749157,0.000007347549,0.00003305639,0.00001373597,0.00003560636],"domain_scores_gemma":[0.9997221,0.00009358276,0.0000438104,0.00003448113,0.00005360519,0.00005232683],"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":[0.0006562458,0.0001606213,0.1190431,0.00007782918,0.0002284459,0.0001753085,0.00005692747,0.8684776,0.006191482,0.0008749456,0.001176284,0.002881033],"study_design_scores_gemma":[0.0001835822,0.0001798941,0.1193499,0.00001746645,0.00008419045,0.00006864849,0.00007589164,0.8742977,0.004205033,0.0004978304,0.0009974883,0.00004251309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969117,0.0000631547,0.0004152594,0.000112888,0.00002299117,0.00000459748,0.001379013,0.00004423481,0.001046222],"genre_scores_gemma":[0.9987502,0.00002947818,0.0002369005,0.00002984731,0.000005533875,0.000006356617,0.0007917523,0.000008085853,0.0001418437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.028851,"threshold_uncertainty_score":0.05736613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007309796317179752,"score_gpt":0.2366119955799212,"score_spread":0.2293021992627414,"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."}}