{"id":"W4362665745","doi":"10.3390/en16073292","title":"Financial, Economic, and Environmental Analyses of Upgrading Reverse Osmosis Plant Fed with Treated Wastewater","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Reverse osmosis; Wastewater; Reuse; Electricity; Environmental science; Pollution; Water scarcity; Environmental engineering; Sewage treatment; Business; Waste management; Water resources; Engineering","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":[0.0008898285,0.0004240197,0.0002450733,0.001961686,0.0004483962,0.001007111,0.0003955875,0.000515531,0.001747927],"category_scores_gemma":[0.00135809,0.0001331072,0.0007735706,0.00144727,0.0004303851,0.0009230953,0.0003990546,0.0004437949,0.0001680061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401857,"about_ca_system_score_gemma":0.0009719835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007810255,"about_ca_topic_score_gemma":0.008889948,"domain_scores_codex":[0.9994869,0.0001117653,0.00002640636,0.00004451675,0.0002216483,0.0001086438],"domain_scores_gemma":[0.9988816,0.0004055366,0.000220408,0.00004025659,0.0003567964,0.00009540124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.008629629,0.002421874,0.3614434,0.0009270228,0.0004305019,0.00677639,0.0002516692,0.3938371,0.08370759,0.01133094,0.003966238,0.1262777],"study_design_scores_gemma":[0.00008741315,0.004544266,0.789777,0.00005835935,0.0003591819,0.0006795137,0.001540465,0.1353688,0.05945092,0.002179196,0.005839082,0.0001158861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956465,0.0001103531,0.0001870112,0.00007521614,0.000007013706,0.00002319416,0.0005565676,0.000004964781,0.0033891],"genre_scores_gemma":[0.9986314,0.0000929824,0.0001456968,0.00000566754,0.000003818107,0.000008116882,0.0003163363,0.000001241498,0.0007947941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007810255,"threshold_uncertainty_score":0.02468234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022669353921222,"score_gpt":0.2320411859989329,"score_spread":0.2118144924597207,"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."}}