{"id":"W2298002722","doi":"10.2166/wqrjc.2015.023","title":"Management of water resources assessment for nuclear power plants in China","year":2015,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"State Administration for Science, Technology and Industry for National Defense; National Development and Reform Commission; Fundamental Research Funds for the Central Universities; International Atomic Energy Agency","keywords":"Water resources; Nuclear power; Nuclear power plant; Work (physics); China; Radioactive waste; Environmental planning; Environmental science; Wastewater; Impact assessment; Resource (disambiguation); Environmental resource management; Water resource management; Business; Waste management; Engineering; Environmental engineering; Computer science; Geography; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007179426,0.00008145639,0.0001466574,0.0001160192,0.0001421179,0.00007800527,0.0003150212,0.00004149982,0.001522745],"category_scores_gemma":[0.00001093107,0.00004738077,0.00006973485,0.00006338426,0.0001708828,0.0002497102,0.0001482207,0.0003177091,0.0001226304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236109,"about_ca_system_score_gemma":0.000005918916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139819,"about_ca_topic_score_gemma":0.00002070434,"domain_scores_codex":[0.9974706,0.000553666,0.0003357683,0.0001837725,0.0009953011,0.0004608993],"domain_scores_gemma":[0.9995701,0.00002795295,0.00002360843,0.0001517584,0.00004043319,0.0001862015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.008114057,0.006791007,0.2728297,0.0006349661,0.001196735,0.00128965,0.290605,0.002158218,0.2715433,0.01308002,0.02438836,0.107369],"study_design_scores_gemma":[0.005466343,0.0007830152,0.7940801,0.0001022631,0.000011163,0.00005068189,0.00906922,0.000292831,0.02610412,0.01248909,0.1512259,0.0003252316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742246,0.000008107776,0.0004046941,0.001922687,0.00006717785,0.0002674086,0.000005953077,0.000005337998,0.02309409],"genre_scores_gemma":[0.9978773,0.00001788801,0.0006299523,0.00003049343,0.00001873244,0.000009613082,0.000004492093,0.00001151081,0.001400006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5212504,"threshold_uncertainty_score":0.99939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09323315202416349,"score_gpt":0.3968461204580985,"score_spread":0.303612968433935,"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."}}