{"id":"W4290963891","doi":"10.1016/j.jclepro.2022.133539","title":"An economic and global warming impact assessment of common sewage sludge treatment processes in North America","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Sewage sludge; Environmental science; Global warming; Waste management; Sewage; Life-cycle assessment; Natural resource economics; Sewage treatment; Economic impact analysis; Environmental engineering; Climate change; Engineering; Economics; Production (economics); Ecology; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514754,0.0001033321,0.0002174045,0.00006594614,0.00008134553,0.00001726954,0.0001521985,0.0000104666,0.0002371607],"category_scores_gemma":[0.000008092437,0.00008629922,0.00004099442,0.0002025288,0.00005917764,0.0003588876,0.0001206226,0.0001043628,0.000001289948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695473,"about_ca_system_score_gemma":0.00004339641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264006,"about_ca_topic_score_gemma":0.001613084,"domain_scores_codex":[0.9989369,0.000133325,0.00037348,0.0001769492,0.0002392657,0.0001401061],"domain_scores_gemma":[0.9992932,0.00001044133,0.000450892,0.0001739529,0.000007707811,0.0000637936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000552135,0.0003305402,0.2993264,0.00001147451,0.00002010254,0.00000789249,0.0007690912,0.6795465,0.0001205888,0.000001130762,0.00008212002,0.0197289],"study_design_scores_gemma":[0.0008587079,0.003487447,0.9664623,0.00001290706,0.00007407054,0.0001717082,0.003703848,0.01729211,0.0003749972,0.00007984114,0.007284242,0.0001978043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988492,0.00004936479,0.0000220882,0.000247471,0.0001313449,0.0001943965,0.000008449661,0.000003703821,0.00049405],"genre_scores_gemma":[0.9994624,0.0001044129,0.0003051954,0.00001957543,0.00006113099,0.000007060664,0.000004822407,0.00000703746,0.00002834051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6671358,"threshold_uncertainty_score":0.4433603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402601585018284,"score_gpt":0.3016624507183513,"score_spread":0.2876364348681685,"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."}}