{"id":"W4220983646","doi":"10.1029/2021ms002679","title":"Less Surface Sea Ice Melt in the CESM2 Improves Arctic Sea Ice Simulation With Minimal Non‐Polar Climate Impacts","year":2022,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canadian Meteorological and Oceanographic Society; National Science Foundation","keywords":"Sea ice; Ice-albedo feedback; Arctic ice pack; Climatology; Environmental science; Arctic sea ice decline; Cryosphere; Arctic geoengineering; Arctic; Climate model; Sea ice thickness; Sea ice concentration; Climate change; Global warming; Atmospheric sciences; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002584368,0.0002041392,0.0003971982,0.0001629616,0.0003298764,0.0001110307,0.0004379702,0.00004988823,0.00001829656],"category_scores_gemma":[0.00006378444,0.0001347838,0.00007597583,0.0004620667,0.00005505403,0.001131996,0.00002606812,0.0007557457,0.000002927483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003804144,"about_ca_system_score_gemma":0.000163685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544929,"about_ca_topic_score_gemma":0.002685977,"domain_scores_codex":[0.9972292,0.0004166767,0.0007711558,0.0002266809,0.0008782834,0.0004780182],"domain_scores_gemma":[0.9984376,0.000543052,0.0005980259,0.0001916265,0.0001345765,0.00009508948],"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":[0.0002959022,0.00002804361,0.2468815,0.0001250607,0.00001142965,0.00006104059,0.00134513,0.750236,0.00001276289,0.000005920499,0.000001023511,0.0009962256],"study_design_scores_gemma":[0.0006810992,0.000491105,0.01929891,0.0002413501,0.00002630135,0.0002863051,0.01878272,0.9597309,0.000001418263,0.00005738829,0.0002237047,0.00017885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911923,0.002958016,0.004549659,0.0001506688,0.0006066745,0.0002808884,0.00005452089,0.000008108895,0.000199139],"genre_scores_gemma":[0.9977317,0.0006261889,0.001298334,0.0001254185,0.0001747846,0.000001320686,0.00002045343,0.000009856778,0.00001187332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2275825,"threshold_uncertainty_score":0.5496325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436188899118869,"score_gpt":0.2458671178392776,"score_spread":0.2315052288480889,"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."}}