{"id":"W2138176285","doi":"10.1029/2008jc005121","title":"Improved modeling of the Arctic halocline with a subgrid‐scale brine rejection parameterization","year":2009,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Halocline; Arctic; Sea ice; Geology; Mixed layer; Hydrography; Advection; Brine; Ocean general circulation model; Climatology; Oceanography; Environmental science; General Circulation Model; Salinity; Climate change; Thermodynamics; Physics","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":[0.0002841509,0.0006403557,0.0003918204,0.0002109653,0.0003266621,0.0006149441,0.0008561405,0.0006689405,0.0005989696],"category_scores_gemma":[0.0008261182,0.0002859994,0.0005191084,0.0001800673,0.000308699,0.0005465716,0.0005482934,0.0006523259,0.0001295682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005545322,"about_ca_system_score_gemma":0.0009129655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03117879,"about_ca_topic_score_gemma":0.01811343,"domain_scores_codex":[0.9999201,0.00002854877,0.000005887918,0.00001466875,0.00001348628,0.00001738655],"domain_scores_gemma":[0.999793,0.00006498682,0.0000430168,0.00003331542,0.0000432351,0.00002237589],"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":[0.000054487,0.00007011318,0.004778892,0.00001032314,0.00002224263,0.00004319939,0.00004228508,0.9822508,0.009462323,0.0004920892,0.00009130609,0.002681967],"study_design_scores_gemma":[0.00002943389,0.00002351664,0.0008111554,0.000001314107,0.000006131096,0.000003662015,0.000006325175,0.9978368,0.001068784,0.00007954263,0.0001274931,0.000005922784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659723,0.00006339037,0.03124665,0.0001470999,0.00003291504,0.00003304216,0.00013385,0.0002825331,0.002088156],"genre_scores_gemma":[0.9902755,0.00003009089,0.009077424,0.00002154716,0.000009276865,0.00002426454,0.00007026035,0.00003033364,0.0004612097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03117879,"threshold_uncertainty_score":0.06199461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898180386857103,"score_gpt":0.263374074207309,"score_spread":0.2443922703387379,"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."}}