{"id":"W2937245495","doi":"10.1029/2018ms001373","title":"An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing","year":2019,"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":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Forcing (mathematics); Climatology; Zonal and meridional; Sea surface temperature; Sea ice; Latitude; Environmental science; Atmospheric sciences; Geodesy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187434,0.00007734969,0.0002509107,0.00008326753,0.00007081286,0.00001673672,0.0001098204,0.0000352379,0.00000666829],"category_scores_gemma":[0.0000443662,0.00005078953,0.00003284314,0.00008859662,0.00005109963,0.0006747868,0.00001566543,0.0001377311,1.122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005840252,"about_ca_system_score_gemma":0.00005975838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000301614,"about_ca_topic_score_gemma":0.0001889967,"domain_scores_codex":[0.9987379,0.0001244796,0.0005137339,0.00009508112,0.0004034765,0.0001253155],"domain_scores_gemma":[0.9990647,0.00008331901,0.0004988485,0.00009561681,0.0002178934,0.00003959245],"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":[0.00004087083,0.000004779068,0.3622111,0.0001015515,0.000005466189,3.182429e-7,0.0009659774,0.6340317,0.00008897852,0.00001593264,6.952684e-8,0.002533292],"study_design_scores_gemma":[0.0004360728,0.0001909697,0.01251149,0.0007235853,0.00003518791,0.00008622829,0.003725437,0.9819708,0.00001239572,0.0002460383,0.000005985131,0.00005574866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951618,0.002192092,0.001915478,0.000008696204,0.0004791376,0.0001448539,0.00001476096,0.00000140262,0.00008182876],"genre_scores_gemma":[0.9982844,0.0004198095,0.001226425,0.000009559161,0.00005316265,4.194325e-8,0.000001545327,0.000002797933,0.000002260369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496996,"threshold_uncertainty_score":0.2071137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567896440564944,"score_gpt":0.2826559701525965,"score_spread":0.256977005746947,"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."}}