{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002013986,0.0006823884,0.0004404782,0.0004397752,0.0003808665,0.0005645956,0.0008631911,0.0008482472,0.001314421],"category_scores_gemma":[0.0033123,0.0003632206,0.0008688999,0.0007640051,0.0004421099,0.0007498408,0.0006650558,0.0006111177,0.0001873205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040828,"about_ca_system_score_gemma":0.0006977211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04442538,"about_ca_topic_score_gemma":0.02371117,"domain_scores_codex":[0.9996183,0.0001890119,0.00002255169,0.0000665808,0.00004981918,0.00005370303],"domain_scores_gemma":[0.9984581,0.0007875366,0.0001169473,0.0001889379,0.0002783107,0.0001701268],"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":[0.001375039,0.0003711389,0.1052885,0.00008411715,0.0002119599,0.0001642174,0.00004952057,0.8768541,0.004130275,0.001116027,0.001866118,0.008489071],"study_design_scores_gemma":[0.000250647,0.0003082753,0.04549441,0.00001219947,0.00004132529,0.00001664835,0.00004180033,0.9514707,0.001636211,0.0003063839,0.0003990158,0.00002234528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954889,0.00005144266,0.0007440464,0.0001545553,0.00001653982,0.00001395699,0.001034629,0.0001758511,0.00232012],"genre_scores_gemma":[0.998471,0.00001290902,0.0007573747,0.00002695613,0.000005498753,0.00001031825,0.0005831704,0.00002371139,0.0001090098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04442538,"threshold_uncertainty_score":0.08833355,"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."}}