{"id":"W4399870561","doi":"10.23977/acss.2024.080108","title":"Modeling and Analysis of Fukushima Nuclear Wastewater Dispersion Based on the ROMS","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fukushima Nuclear Accident; Environmental science; Wastewater; Dispersion (optics); Nuclear engineering; Engineering; Nuclear physics; Environmental engineering; Physics; Nuclear power plant; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002188057,0.00006825743,0.0001333758,0.00007381384,0.00003947343,0.00005033442,0.00005896043,0.00001961897,0.00005185937],"category_scores_gemma":[0.000001181107,0.00004068475,0.00003528457,0.0002128173,0.00005012986,0.0001620039,0.00002002354,0.00004700402,0.000003153442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001638675,"about_ca_system_score_gemma":0.000001124691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004765669,"about_ca_topic_score_gemma":0.00001882254,"domain_scores_codex":[0.9993941,0.00006707442,0.0001395865,0.0001919314,0.000133974,0.00007336039],"domain_scores_gemma":[0.9997624,0.0001159757,0.00001243238,0.00008250045,0.000003584601,0.00002312373],"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":[0.0000116391,0.00001998354,0.00613787,0.00004081406,0.00004397276,0.000004694913,0.0006091069,0.9716235,0.001084025,0.0009444989,0.000009748042,0.01947018],"study_design_scores_gemma":[0.00007195365,0.00004468023,0.002693338,0.00008547267,0.00002858817,6.599311e-7,0.00005292729,0.9963019,0.0000388675,0.00003119024,0.000596628,0.00005381921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839933,0.001442725,0.1136673,0.0001547161,0.0001203976,0.0001160373,0.00000567536,0.00001053939,0.0004892973],"genre_scores_gemma":[0.9996042,0.0001625196,0.0001334855,0.00006387076,0.00001219121,0.000003973962,0.000001499068,0.000004538345,0.00001375825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1156109,"threshold_uncertainty_score":0.1659076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094948260029507,"score_gpt":0.2272597337246028,"score_spread":0.2163102511243077,"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."}}