{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006605016,0.000105164,0.0002388859,0.00002056874,0.0001945554,0.00004756348,0.0003130912,0.0000485813,0.00009646987],"category_scores_gemma":[0.0003343085,0.00005707544,0.000120994,0.0005474266,0.000189954,0.0002846855,0.00001723905,0.0005765088,0.000004395434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001874694,"about_ca_system_score_gemma":0.0001937531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678832,"about_ca_topic_score_gemma":0.000632795,"domain_scores_codex":[0.9981335,0.0001954883,0.0003760771,0.0001389319,0.0008374849,0.0003185216],"domain_scores_gemma":[0.9985626,0.0002731861,0.0002299188,0.0001902372,0.0006126972,0.0001313043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007314225,0.001174979,0.408908,0.000290991,0.0003217883,0.00007969081,0.001545392,0.3375331,0.01377469,0.0005560297,0.0001919031,0.2283092],"study_design_scores_gemma":[0.0005466611,0.002587734,0.2489166,0.0001819523,0.00003312278,0.00006143434,0.0004218999,0.7415011,0.0003460919,0.00526985,0.00003825943,0.00009533514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929575,0.00005835436,0.005522386,0.0009537913,0.00008391466,0.0001372057,0.000004327337,0.000005127237,0.00027742],"genre_scores_gemma":[0.9958919,0.00008658086,0.003561097,0.00006369148,0.0002410635,2.445542e-7,0.000003578942,0.000004026374,0.0001478219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4039679,"threshold_uncertainty_score":0.404961,"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."}}