{"id":"W2559944463","doi":"10.2172/1233439","title":"Final Report. Coupled simulations of Antarctic Ice-sheet/ocean interactions using POP and CISM","year":2015,"lang":"en","type":"report","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Lawrence Berkeley National Laboratory; University of Bristol; York University; Strong; U.S. Department of Energy","keywords":"Antarctic ice sheet; Ice sheet; Climatology; Forcing (mathematics); CLARION; National laboratory; Ice-sheet model; Meteorology; Oceanography; Sea ice; Geology; Cryosphere; Geography; Computer science; Ice shelf; Engineering; Engineering physics","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":[0.003052925,0.0007646711,0.0007364093,0.0004151123,0.0006539745,0.001729227,0.001290235,0.0006576718,0.02638744],"category_scores_gemma":[0.003625197,0.0003861089,0.0006964341,0.0005154359,0.0003315886,0.001012827,0.001719894,0.001176967,0.008117096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118941,"about_ca_system_score_gemma":0.00219753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775316,"about_ca_topic_score_gemma":0.0192654,"domain_scores_codex":[0.9994019,0.0001169354,0.00002300058,0.00005655604,0.0003155544,0.00008604493],"domain_scores_gemma":[0.9984766,0.0002001705,0.00004057669,0.000241085,0.0007044938,0.0003370687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0017669,0.0008104416,0.02234383,0.0004638095,0.0003287224,0.0007430459,0.0003049124,0.2634134,0.007507769,0.01872398,0.6269496,0.05664357],"study_design_scores_gemma":[0.001509355,0.001042861,0.02866617,0.0001767072,0.0001691011,0.0001997363,0.0005804512,0.4464473,0.02831484,0.01352483,0.4791922,0.0001764188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2139025,0.0008625987,0.0669635,0.006783554,0.006622815,0.002965697,0.3603088,0.008655525,0.332935],"genre_scores_gemma":[0.4622755,0.0006451446,0.09354635,0.000732536,0.000385772,0.001837867,0.2682503,0.003931161,0.1683954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02638744,"threshold_uncertainty_score":0.08827472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500977858864317,"score_gpt":0.3674109982065116,"score_spread":0.2173132123200798,"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."}}