{"id":"W4367049826","doi":"10.1002/adsu.202300024","title":"Social Life Cycle Assessment of Mexico City's Water Cycle","year":2023,"lang":"en","type":"article","venue":"Advanced Sustainable Systems","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Sustainable development; Bottled water; Environmental economics; Water cycle; Business; Water quality; Scale (ratio); Water consumption; Water supply; Quality of life (healthcare); Social impact; Water resource management; Environmental science; Environmental engineering; Economics; Environmental health; Geography; Political science; Psychology","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":[0.0004630061,0.000172497,0.0000976624,0.001356301,0.0003464311,0.0006143501,0.0001902681,0.0002076598,0.001178235],"category_scores_gemma":[0.0008552411,0.00005752161,0.0002595304,0.001416318,0.0001490299,0.000272751,0.0004357487,0.0001338186,0.00004649319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231773,"about_ca_system_score_gemma":0.001031095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1877358,"about_ca_topic_score_gemma":0.2089371,"domain_scores_codex":[0.9998438,0.00005066729,0.000006626837,0.00001767659,0.00004609043,0.00003502973],"domain_scores_gemma":[0.9996111,0.00008647018,0.000091496,0.00001820882,0.0001696146,0.00002319487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481996,0.0001224485,0.8627071,0.0001084889,0.0001419461,0.0002262471,0.0007071579,0.08607388,0.001513713,0.006617172,0.002333746,0.03930004],"study_design_scores_gemma":[0.00001551721,0.0001716445,0.8758657,0.00003499296,0.00005927103,0.00004079579,0.002702087,0.1048305,0.001561204,0.001672505,0.0130206,0.00002519696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901461,0.0001217199,0.001373618,0.0002367116,0.000004297614,0.00006253544,0.00218011,0.00001462852,0.005860253],"genre_scores_gemma":[0.9972573,0.0000799389,0.0009224862,0.000007632855,0.000002166097,0.00004203274,0.000884309,0.000001695351,0.0008026176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1877358,"threshold_uncertainty_score":0.3732861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891512837343152,"score_gpt":0.2654487725883578,"score_spread":0.2565336442149263,"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."}}