{"id":"W4220779209","doi":"10.5194/egusphere-egu22-11022","title":"Estimation of 137Cs inventories in each ocean basin by a global ocean general circulation model for the global database interpolation","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General Circulation Model; Latitude; Longitude; Ocean current; Environmental science; Nuclear power plant; Ocean general circulation model; Radionuclide; Meteorology; Climatology; Oceanography; Climate change; Geology; Geography; Physics; Nuclear physics; Geodesy","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":[0.0004767367,0.0002079233,0.0002018746,0.00003134442,0.0001095678,0.00004649357,0.000335849,0.0001060154,0.0004031262],"category_scores_gemma":[0.0000612172,0.0001830858,0.0001106982,0.0002406275,0.0001130932,0.0003202553,0.0002881777,0.0001752084,0.000002153902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326487,"about_ca_system_score_gemma":0.00006044478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002684736,"about_ca_topic_score_gemma":0.0008161471,"domain_scores_codex":[0.9984035,0.0001110778,0.0004244757,0.0004402651,0.0004428898,0.0001778004],"domain_scores_gemma":[0.9993879,0.00005145274,0.0001638247,0.0003277689,0.00001964506,0.00004935915],"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":[0.00008935061,0.0001529818,0.1737301,0.00004573484,0.00003345864,3.53963e-7,0.0005544903,0.8082414,0.00006189576,0.007691559,0.002996594,0.006402075],"study_design_scores_gemma":[0.000444509,0.00001915356,0.0670796,0.00001367946,0.00004102182,9.735926e-7,0.0001140416,0.9267523,0.00004432834,0.005107322,0.0002202389,0.0001628087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3538318,0.00004127853,0.6415473,0.0004814974,0.0002076908,0.0008944336,0.001254225,0.00002731463,0.001714398],"genre_scores_gemma":[0.9933534,0.00001415544,0.004572141,0.0001955972,0.00001757804,0.00004359779,0.00161721,0.00001109773,0.0001752723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6395215,"threshold_uncertainty_score":0.7466021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238030806880542,"score_gpt":0.2846024492201938,"score_spread":0.2622221411513884,"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."}}