{"id":"W4388866728","doi":"10.3390/su152316172","title":"Lifecycle Assessment of Two Urban Water Treatment Plants of Pakistan","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Directorate for Biological Sciences; Bahria University","keywords":"Life-cycle assessment; Environmental science; Sustainability; Sewage treatment; Eutrophication; Electricity; Environmental engineering; Scope (computer science); Water treatment; Water resource management; Business; Environmental resource management; Production (economics); Engineering; Ecology","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":[0.0002921585,0.0001416201,0.0002346142,0.00004436103,0.00006264671,0.000006845672,0.0001490788,0.00003935203,0.0004861531],"category_scores_gemma":[0.00001115799,0.00008431173,0.0001036701,0.0001509934,0.0002333461,0.0001166666,0.0001884501,0.00003622569,0.00004456304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008798341,"about_ca_system_score_gemma":0.0000434516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145026,"about_ca_topic_score_gemma":0.00009609274,"domain_scores_codex":[0.9987518,0.00009311983,0.0002900511,0.0002760776,0.0002496146,0.0003393655],"domain_scores_gemma":[0.9993232,0.00004525746,0.00006010008,0.000468754,0.00002414048,0.00007850534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003841418,0.0005945754,0.9792008,0.00006310989,0.00004208319,0.00002606252,0.002055421,0.0009863315,0.01546243,0.0001960627,0.0003038418,0.001030824],"study_design_scores_gemma":[0.001877397,0.0007945334,0.7194717,0.00001032765,0.00005301373,0.00000160475,0.002090385,0.0002935183,0.2665956,0.006244596,0.002341176,0.0002261435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972124,0.000005412925,0.00000670071,0.0004120769,0.00005510272,0.000438292,0.00002566499,0.00004690627,0.001797447],"genre_scores_gemma":[0.9969555,0.000007218243,0.0001186391,0.000005231035,0.00001325053,0.00003548904,0.00003576512,0.000009891646,0.002819061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2597292,"threshold_uncertainty_score":0.5323036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027885986792078,"score_gpt":0.3115456833402876,"score_spread":0.3012668234723669,"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."}}