{"id":"W2755015987","doi":"10.5194/bg-2017-328","title":"The devil's in the disequilibrium: sensitivity of ocean carbon storage to climate state and iron fertilization in a general circulation model","year":2017,"lang":"en","type":"article","venue":"","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ministerio de Economía y Competitividad; Compute Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Iron fertilization; Biogeochemical cycle; Antarctic Bottom Water; Radiative forcing; Biological pump; Environmental science; Climatology; Atmospheric sciences; Oceanography; Carbon cycle; Thermohaline circulation; Climate change; Geology; Chemistry; Ecosystem; Phytoplankton; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453646,0.0006266211,0.0007370271,0.0004570413,0.00071173,0.001173026,0.0009154075,0.001166314,0.001067495],"category_scores_gemma":[0.002838331,0.0004637754,0.0008542259,0.0004162544,0.00096439,0.0007905501,0.0009064323,0.00094853,0.00009312391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178125,"about_ca_system_score_gemma":0.001356568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05377323,"about_ca_topic_score_gemma":0.0284578,"domain_scores_codex":[0.999833,0.00007670189,0.000006841934,0.00003372147,0.00001445013,0.00003537554],"domain_scores_gemma":[0.9992261,0.0004238407,0.0001028368,0.00004962705,0.00007285819,0.0001246814],"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":[0.00008141142,0.00003690005,0.009076823,0.00001590515,0.00006560991,0.00007041487,0.00003225848,0.9870768,0.0008095684,0.001844965,0.0003239909,0.0005653628],"study_design_scores_gemma":[0.000061707,0.00002896018,0.001780069,0.000002750987,0.00001265145,0.000006209102,0.0000147753,0.9969644,0.00007620632,0.0009068901,0.0001368739,0.000008450395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892128,0.0001057802,0.005765441,0.0007944087,0.00004119179,0.00002783425,0.000579773,0.0001030004,0.003369941],"genre_scores_gemma":[0.9971307,0.00006020131,0.001628218,0.0001144213,0.00001302541,0.00003393096,0.000236471,0.00002936895,0.0007536541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05377323,"threshold_uncertainty_score":0.1069205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497895576694845,"score_gpt":0.2193507205412538,"score_spread":0.2043717647743054,"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."}}