{"id":"W4302283775","doi":"10.5194/os-18-1431-2022","title":"Major sources of North Atlantic Deep Water in the subpolar North Atlantic from Lagrangian analyses in an eddy-rich ocean model","year":2022,"lang":"en","type":"article","venue":"Ocean science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"North Atlantic Deep Water; Geology; Oceanography; Thermohaline circulation; Ridge; Hydrography; Water mass; Flux (metallurgy); Climatology; Paleontology","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":[0.0008427916,0.0002166239,0.0003024634,0.0002056643,0.0005904094,0.00014256,0.001852969,0.0000273437,0.0002429731],"category_scores_gemma":[0.00003840742,0.0001322971,0.00006834715,0.003225188,0.0005598849,0.0007268905,0.00009422273,0.0002991463,0.000009792249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009942223,"about_ca_system_score_gemma":0.000157122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01142508,"about_ca_topic_score_gemma":0.06735653,"domain_scores_codex":[0.997126,0.0001755125,0.0004104335,0.0005942824,0.001022697,0.0006710989],"domain_scores_gemma":[0.999124,0.000129545,0.0001291645,0.0004254996,0.00005681133,0.0001350104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002514005,0.00006768458,0.8906305,0.00001271045,0.00000492253,0.00003645231,0.00414353,0.1046601,0.00002602059,0.000004750763,0.00001717258,0.0003710612],"study_design_scores_gemma":[0.0001959418,0.0001115049,0.8280681,0.000007596343,0.00002106624,0.000008249327,0.002306536,0.1687267,0.0000579502,0.000265127,0.00003366893,0.0001976051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998972,0.0003658097,0.00006674432,0.0001269191,0.0000727273,0.0001721717,0.00005810822,0.00002593132,0.0001395603],"genre_scores_gemma":[0.9989537,0.00004190379,0.0004888853,0.0002971598,0.00003279423,5.022588e-7,0.0001644494,0.000005602968,0.00001502899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06406659,"threshold_uncertainty_score":0.995158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821014755924727,"score_gpt":0.2284840673495948,"score_spread":0.2102739197903475,"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."}}