{"id":"W4310201959","doi":"10.3390/w14233859","title":"Wastewater Reuse to Mitigate the Risk of Water Shortages: An Integrated Investment Appraisal","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Reuse; Investment (military); Wastewater; Externality; Water scarcity; Cost of electricity by source; Environmental economics; Natural resource economics; Business; Environmental science; Water resources; Environmental engineering; Waste management; Economics; Electricity generation; Engineering; Microeconomics; Power (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":[0.004850252,0.00179614,0.001485913,0.004690358,0.0005672884,0.004128873,0.0010496,0.001319511,0.002912993],"category_scores_gemma":[0.005505127,0.0006247099,0.001622141,0.002748329,0.0007616309,0.002706567,0.002278628,0.0009604063,0.000295408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006133812,"about_ca_system_score_gemma":0.004796023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006420022,"about_ca_topic_score_gemma":0.009944377,"domain_scores_codex":[0.9955691,0.001583513,0.0001430178,0.0001614326,0.00203843,0.000504505],"domain_scores_gemma":[0.9967498,0.0009171115,0.0005877618,0.0001422238,0.001403029,0.0002000745],"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":[0.001230644,0.000804531,0.02221065,0.001634258,0.0009248701,0.0008276121,0.0002303404,0.6699674,0.008940935,0.02773702,0.004716313,0.2607754],"study_design_scores_gemma":[0.0003056272,0.01079216,0.088002,0.002111468,0.002751434,0.0007218771,0.003003543,0.8163419,0.0139533,0.02703684,0.03463348,0.0003463094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7523277,0.02037316,0.08761372,0.006675444,0.0003025128,0.002031204,0.001401668,0.0003476245,0.1289269],"genre_scores_gemma":[0.9732506,0.006377803,0.01434394,0.000155393,0.00009168695,0.0001717755,0.0003071818,0.00003473887,0.005267012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006420022,"threshold_uncertainty_score":0.04450411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00844071700601542,"score_gpt":0.1986303955410307,"score_spread":0.1901896785350153,"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."}}