{"id":"W2036606513","doi":"10.1029/2002jc001598","title":"Evaluating carbon sequestration efficiency in an ocean circulation model by adjoint sensitivity analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon sequestration; Environmental science; Thermocline; Thermohaline circulation; Residence time (fluid dynamics); Convective mixing; Climatology; Ocean current; Atmosphere (unit); Ocean general circulation model; Oceanography; Atmospheric sciences; Geology; Convection; Meteorology; General Circulation Model; Carbon dioxide; Climate change; Geography","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":[0.0006353238,0.0004654475,0.000415596,0.0004180528,0.000300447,0.0005115877,0.0004045241,0.0006447582,0.0005523908],"category_scores_gemma":[0.001506758,0.0003061616,0.0005346928,0.0003088585,0.0004958934,0.000462312,0.0006561399,0.0004833987,0.00003844349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005260643,"about_ca_system_score_gemma":0.0005503049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496431,"about_ca_topic_score_gemma":0.006096542,"domain_scores_codex":[0.9998735,0.0000609227,0.000006117541,0.00001794718,0.00001992687,0.0000216663],"domain_scores_gemma":[0.9993976,0.0004266274,0.00006636699,0.00003575867,0.00004910102,0.00002453898],"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":[0.00001756205,0.000009999781,0.0008733006,0.000005030532,0.00001022408,0.00001780316,0.000006004158,0.9970421,0.0009326931,0.0004928815,0.00001758575,0.000574747],"study_design_scores_gemma":[0.000003424355,0.00001029558,0.0001889798,4.770102e-7,0.000002567241,0.000001928133,0.000001967509,0.9992309,0.0003046013,0.0002375175,0.00001474384,0.000002577567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446393,0.00005342859,0.05319351,0.0001181708,0.00000894325,0.00002148894,0.0001480349,0.0002314449,0.001585693],"genre_scores_gemma":[0.9953062,0.00001505332,0.004432086,0.00001023414,0.000001832382,0.00001730969,0.00003723687,0.00001003391,0.0001700698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496431,"threshold_uncertainty_score":0.0297544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05718337996017829,"score_gpt":0.3485267908057306,"score_spread":0.2913434108455523,"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."}}