{"id":"W2026406774","doi":"10.5539/jsd.v2n1p36","title":"Carbon Dioxide Emission Savings Potential of Household Water Use Reduction in the UK","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon dioxide; Environmental science; Electricity; Water use; Tap water; Carbon dioxide equivalent; Environmental engineering; Carbon footprint; Greenhouse gas; Volume (thermodynamics); Energy conservation; Water consumption; Mains electricity; Natural resource economics; Waste management; Chemistry; Economics; Engineering; Ecology","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":[0.0002392138,0.0002417165,0.0002368784,0.0004567397,0.0001906297,0.0005639129,0.0002252591,0.0003051251,0.003221752],"category_scores_gemma":[0.0008078161,0.00009032069,0.0002622791,0.001023797,0.0001893157,0.000461363,0.0005401503,0.0001244694,0.0004339947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711468,"about_ca_system_score_gemma":0.0005358255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07113872,"about_ca_topic_score_gemma":0.1023145,"domain_scores_codex":[0.999602,0.0001067443,0.00002071437,0.00004739596,0.0001394012,0.00008372146],"domain_scores_gemma":[0.9998212,0.00003961365,0.00003910635,0.00001659669,0.00007022701,0.00001328451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008932017,0.0007959462,0.1510789,0.002598175,0.0003237025,0.004372973,0.001681071,0.04499793,0.2606269,0.006981004,0.006781576,0.5108299],"study_design_scores_gemma":[0.0003121432,0.003535889,0.8588955,0.0002629957,0.0002806493,0.0009290377,0.002206225,0.01537921,0.06111963,0.001445698,0.0554982,0.00013473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784232,0.001195332,0.0009088566,0.0002356202,0.00002040834,0.00004843665,0.0008778326,0.00003309398,0.01825731],"genre_scores_gemma":[0.9954683,0.0005455243,0.0005424957,0.0000297823,0.000003292373,0.00002852436,0.0002567394,0.000007679975,0.003117644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07113872,"threshold_uncertainty_score":0.1414493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027205876101928,"score_gpt":0.1923429375880372,"score_spread":0.1820708788270179,"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."}}