{"id":"W2102524387","doi":"10.5194/os-1-127-2005","title":"Water mass transformation in the North Atlantic over 1985-2002 simulated in an eddy-permitting model","year":2005,"lang":"en","type":"article","venue":"Ocean science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Hydrography; Mode water; Water mass; Climatology; North Atlantic Deep Water; Geology; Subtropics; Boundary current; Mixing (physics); Oceanography; Environmental science; Ocean current; Ocean gyre; Thermohaline circulation; 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":[0.0008531683,0.0001197707,0.0001073727,0.00007652868,0.0002334889,0.0001630276,0.0005918763,0.00003509499,0.0001626468],"category_scores_gemma":[0.00001839818,0.00006808379,0.00002378503,0.001188995,0.0002060954,0.001916069,0.000006479956,0.0001597808,0.00003774642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007136998,"about_ca_system_score_gemma":0.00006871131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000321998,"about_ca_topic_score_gemma":0.003532789,"domain_scores_codex":[0.9984891,0.00004001538,0.0002572279,0.0002774251,0.0004536292,0.0004826433],"domain_scores_gemma":[0.9996479,0.00004104586,0.00003615684,0.0001677855,0.00003078289,0.00007635599],"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":[0.000006517434,0.00001567104,0.5505607,0.000006178374,3.772462e-7,0.000003851912,0.003319966,0.4421414,0.00003918699,0.00001229055,0.000008023909,0.003885883],"study_design_scores_gemma":[0.0001626065,0.00002628176,0.2311821,0.00001022529,0.000001912683,0.000003326873,0.0003497376,0.7678474,0.00006855226,0.0001371021,0.0001047556,0.0001059377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971818,0.00004669944,0.0003615299,0.0002734745,0.00003691833,0.0001357776,0.000004190031,0.00002686631,0.001932734],"genre_scores_gemma":[0.9987028,0.00002532443,0.000670011,0.0005182277,0.00003440675,1.297009e-7,0.00001841806,0.000002213319,0.00002847325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3257061,"threshold_uncertainty_score":0.2776377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241347472366741,"score_gpt":0.2209067827546243,"score_spread":0.2084933080309569,"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."}}