{"id":"W1976125743","doi":"10.2991/jrarc.2014.4.4.1","title":"A Two-Step Water-Management Approach for Nuclear Power Plants in Inland China","year":2014,"lang":"en","type":"article","venue":"Journal of risk analysis and crisis response","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Development and Reform Commission; Ministry of Water Resources; U.S. Nuclear Regulatory Commission","keywords":"China; Nuclear power; Nuclear power plant; Environmental science; Water resource management; Business; Nuclear engineering; Engineering; Geography; Biology; Ecology; Physics; Nuclear 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006601589,0.0007662504,0.000358457,0.0009209579,0.001039198,0.001363553,0.001201331,0.0009839124,0.002290359],"category_scores_gemma":[0.0005428505,0.0002672253,0.0008154506,0.0007139164,0.0006257611,0.001572359,0.001708827,0.0007031645,0.0001384542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553777,"about_ca_system_score_gemma":0.004731144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204129,"about_ca_topic_score_gemma":0.0327205,"domain_scores_codex":[0.9995179,0.0001991843,0.00002557076,0.00009462774,0.00009323924,0.00006937032],"domain_scores_gemma":[0.9998443,0.0000359892,0.00003129899,0.00001147411,0.00005311277,0.00002366708],"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":[0.0001024175,0.0003782467,0.01047564,0.0005012589,0.0001194123,0.001790122,0.001728284,0.6339134,0.01361834,0.1580093,0.003678706,0.175685],"study_design_scores_gemma":[0.0000519821,0.0002191193,0.004740824,0.00005826462,0.00006991462,0.0001220494,0.001850151,0.9204068,0.004044126,0.05858439,0.009799636,0.00005267135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1700777,0.0004590596,0.7985108,0.003005718,0.00007892642,0.0006610823,0.0002224127,0.0002351681,0.02674906],"genre_scores_gemma":[0.8750068,0.0005067761,0.1128307,0.0001065048,0.00003230927,0.0003550989,0.0001131881,0.00002522568,0.01102332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0204129,"threshold_uncertainty_score":0.04058814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004025351686128996,"score_gpt":0.2078349409485113,"score_spread":0.2038095892623823,"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."}}