{"id":"W2108681268","doi":"10.1175/1520-0485(2003)033<2565:wmcfam>2.0.co;2","title":"Water Mass Conversion, Fluxes, and Mixing in the Scotia Sea Diagnosed by an Inverse Model","year":2003,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Mixing (physics); Water mass; Oceanography; Nova scotia; Inverse; Climatology; Geology; Environmental science; Atmospheric sciences; Physics; Mathematics; Geometry","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":[0.0004633304,0.000161999,0.0002453015,0.000067867,0.0001202756,0.00008745735,0.0002650912,0.00005005738,0.00004816051],"category_scores_gemma":[0.00002424726,0.00008564219,0.0001386831,0.0004426014,0.0001989097,0.0006925514,0.000004941373,0.0002946271,0.000005514616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001764048,"about_ca_system_score_gemma":0.00003336739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003698459,"about_ca_topic_score_gemma":0.00003873383,"domain_scores_codex":[0.9987524,0.0001662751,0.0002607971,0.0001613749,0.0003632044,0.000295913],"domain_scores_gemma":[0.9993834,0.0001524064,0.0001186527,0.0001116434,0.00006079088,0.0001730933],"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":[0.00005402611,0.0001981865,0.9889053,0.00003642174,0.00004065223,0.00005225427,0.001876173,0.004384646,0.0004977726,0.00006734041,0.003268236,0.0006190619],"study_design_scores_gemma":[0.0119246,0.006814168,0.3090535,0.000496008,0.0006818016,0.0003400785,0.02125732,0.5068752,0.02016036,0.09724741,0.02225573,0.002893871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981886,0.0005802136,0.0004418433,0.0001537416,0.0000736592,0.0000713376,0.00001207512,0.000007275692,0.0004713208],"genre_scores_gemma":[0.9983307,0.0001717182,0.0007845106,0.0006276066,0.0000642583,1.248122e-7,0.00001062767,0.000004263675,0.000006181407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6798517,"threshold_uncertainty_score":0.3492387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00765379576663316,"score_gpt":0.1980000084040825,"score_spread":0.1903462126374493,"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."}}