{"id":"W2087875972","doi":"10.5194/osd-7-521-2010","title":"Numerical implementation and oceanographic application of the thermodynamic potentials of water, vapour, ice, seawater and air – Part 1: Background and equations","year":2010,"lang":"en","type":"article","venue":"","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Seawater; Environmental science; Thermodynamic equations; Meteorology; Equation of state; Water ice; Thermodynamics; Computer science; Geology; Oceanography; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000832876,0.00007207593,0.00009586887,0.00002268389,0.0001133565,0.00001791461,0.00005650257,0.00001873206,0.00008454614],"category_scores_gemma":[3.002816e-7,0.00004514476,0.00003080213,0.00007088342,0.0001119775,0.00007652047,0.00005316879,0.00005986035,0.000001251499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001163079,"about_ca_system_score_gemma":0.000006717136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004071753,"about_ca_topic_score_gemma":0.00002234643,"domain_scores_codex":[0.9995204,0.00001727673,0.0001687224,0.0001349523,0.0000707167,0.00008791145],"domain_scores_gemma":[0.9996494,0.00002734874,0.00008268902,0.0001653585,0.00004389448,0.00003128216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000005036766,0.0001424401,0.05841243,0.00002456275,0.00007443284,8.68727e-9,0.0003271019,0.00001060082,0.5002259,0.3963522,0.00004451436,0.04438078],"study_design_scores_gemma":[0.002242725,0.0001219774,0.5466138,0.00002169296,0.0003603044,0.000002884012,0.0032245,0.02626671,0.179969,0.2361019,0.004479969,0.0005945942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843965,0.000004797968,0.01426251,0.0003733759,0.00001779089,0.000260547,0.00002529777,0.000005530178,0.0006537034],"genre_scores_gemma":[0.9995848,0.000003250924,0.000256685,0.00001906323,0.00003443078,0.00002710805,0.0000373306,0.000008366197,0.00002895036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4882013,"threshold_uncertainty_score":0.184095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008247899369601484,"score_gpt":0.2570523702571476,"score_spread":0.2488044708875461,"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."}}