{"id":"W2161350035","doi":"10.1002/2013jc009141","title":"Characterization of double diffusive convection steps and heat budget in the deep Arctic Ocean","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences; National Key Research and Development Program of China; Fisheries and Oceans Canada; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Geothermal heating; Heat flux; Hydrography; Geology; Advection; Heat transfer; Geothermal gradient; Mixed layer; Convection; Arctic; Environmental science; Climatology; Geophysics; Atmospheric sciences; Oceanography; Meteorology; Geothermal energy; Mechanics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001385452,0.0002439094,0.0001839253,0.0007044688,0.0003672922,0.0003947537,0.0001686581,0.0001540412,0.000240064],"category_scores_gemma":[0.0002562177,0.0001437717,0.0002321475,0.0004094689,0.0001663468,0.0002860272,0.0003151754,0.0001443284,0.00004776015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958097,"about_ca_system_score_gemma":0.0006140062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05381938,"about_ca_topic_score_gemma":0.07034862,"domain_scores_codex":[0.9999537,0.000002978664,0.000003925212,0.00001376921,0.00001155178,0.00001399458],"domain_scores_gemma":[0.9998735,0.00001592302,0.00003078771,0.0000106879,0.0000368384,0.00003223221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002573778,0.00004646777,0.8983349,0.00003961116,0.00006812767,0.0001258005,0.0003176153,0.006036799,0.08496992,0.0002273219,0.00006497472,0.009511027],"study_design_scores_gemma":[0.00001051359,0.00003286484,0.9640079,0.000008401976,0.00002620338,0.00005894958,0.0002480949,0.02547693,0.009630448,0.00008117798,0.0004025145,0.00001589185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993095,0.00003906934,0.0003703296,0.000004980006,0.000001390335,0.00000237189,0.00010701,0.00000900445,0.0001562699],"genre_scores_gemma":[0.9991274,0.0000274233,0.0005836785,0.000003341565,0.000001359977,0.000003652728,0.0001563914,0.000003761006,0.00009288215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05381938,"threshold_uncertainty_score":0.1070123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766782817003629,"score_gpt":0.2591050086758505,"score_spread":0.2414371805058142,"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."}}