{"id":"W2787424692","doi":"10.1680/jenes.17.00012","title":"Decentralised water reuse in Sydney, Australia: drivers for implementation and energy consumption","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reuse; Environmental economics; Consumption (sociology); Energy consumption; Incentive; Environmental science; Electricity; Mains electricity; Water conservation; Business; Water consumption; Natural resource economics; Environmental engineering; Water resources; Power (physics); Waste management; Engineering; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198016,0.0001260648,0.0001907164,0.0005165937,0.0005048977,0.001059191,0.0004202824,0.0002654155,0.001531852],"category_scores_gemma":[0.003143081,0.000245582,0.0002379164,0.0009936965,0.0008155524,0.0007174292,0.001514246,0.0004768371,0.00009592078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004601152,"about_ca_system_score_gemma":0.004599192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.147484,"about_ca_topic_score_gemma":0.2663079,"domain_scores_codex":[0.9987341,0.00040127,0.00008639588,0.0001081592,0.0004163785,0.0002537116],"domain_scores_gemma":[0.9968747,0.0005287672,0.0009986711,0.0001071343,0.0008384552,0.0006522106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623366,0.0003556943,0.8902127,0.0006196221,0.0001518066,0.0008763697,0.01986487,0.002740104,0.007999369,0.004506473,0.0009494835,0.0715613],"study_design_scores_gemma":[0.000004780685,0.000110366,0.9893723,0.00004209429,0.00001064612,0.00007149338,0.00601188,0.001152765,0.0002701466,0.000221113,0.002719705,0.00001269225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971309,0.00008185241,0.0002697167,0.0003581455,0.000002395409,0.00005203644,0.00006739033,0.000004444535,0.00203308],"genre_scores_gemma":[0.9982991,0.0001451955,0.0004036317,0.00003513122,0.000001748462,0.00002502986,0.0000380219,0.000002044046,0.001050127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147484,"threshold_uncertainty_score":0.293251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402726572313801,"score_gpt":0.2468570447509675,"score_spread":0.2328297790278294,"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."}}