{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112593,0.0008682834,0.0003927737,0.0008933375,0.0006829313,0.001221352,0.000692886,0.0008473594,0.001117395],"category_scores_gemma":[0.001164745,0.0004736193,0.0008829491,0.0009948134,0.0005603389,0.0009079125,0.000598559,0.0004481415,0.00008250023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005997512,"about_ca_system_score_gemma":0.003453954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1640304,"about_ca_topic_score_gemma":0.2097511,"domain_scores_codex":[0.9993811,0.0003145326,0.00001517177,0.00007625319,0.0001238085,0.00008923475],"domain_scores_gemma":[0.9994296,0.0003137803,0.00007230324,0.00002485339,0.0001308456,0.00002858993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007347846,0.00004935878,0.004930691,0.00002830403,0.00003654141,0.00008086023,0.0000320216,0.9886762,0.0007034615,0.001758302,0.0001466105,0.003484126],"study_design_scores_gemma":[0.0000370881,0.0003034664,0.01389979,0.00001897461,0.000082336,0.00005079811,0.0002991573,0.9789437,0.001564921,0.002617579,0.002147544,0.00003461742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786598,0.0002426464,0.009687858,0.0002660717,0.000006731314,0.0001148137,0.0005635488,0.00005356785,0.01040489],"genre_scores_gemma":[0.9938153,0.0002416896,0.003715585,0.00002733933,0.000002416054,0.00005987824,0.0002693972,0.000009314823,0.001859183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1640304,"threshold_uncertainty_score":0.3261513,"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."}}