{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003656188,0.0001958991,0.0003170675,0.00008405248,0.000327364,0.0000441443,0.0002616647,0.00008656465,0.0002377603],"category_scores_gemma":[0.000017159,0.0001382996,0.00009727087,0.0004100416,0.0001256965,0.0004147524,0.00036457,0.00009218761,0.0002904573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003390189,"about_ca_system_score_gemma":0.00002585098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007997358,"about_ca_topic_score_gemma":0.00001355898,"domain_scores_codex":[0.9980136,0.00009478429,0.0003464583,0.0003512308,0.0004407603,0.0007532067],"domain_scores_gemma":[0.9993984,0.00003193513,0.0001019367,0.000310061,0.00003033505,0.0001273224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001229759,0.0006966686,0.1196086,0.0009512671,0.0003088282,0.0005949155,0.008076154,0.7845067,0.06645896,0.007859083,0.009691127,0.001124711],"study_design_scores_gemma":[0.01909762,0.002230875,0.2272983,0.0003344745,0.0004818235,0.00005854093,0.1726095,0.07944994,0.1271152,0.02265223,0.3434753,0.00519621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795281,0.00003115168,0.0001388976,0.0005157866,0.000210989,0.000603779,0.000005796346,0.0001767391,0.01878872],"genre_scores_gemma":[0.9709511,0.00001117622,0.0001011597,0.0000236798,0.00006897216,0.0001303292,0.00003263893,0.00003057748,0.02865033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7050567,"threshold_uncertainty_score":0.5639694,"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."}}