{"id":"W12470447","doi":"10.2166/wst.2005.0567","title":"Anaerobic digestion as a sustainable solution for biosolids management by the Montreal Metropolitan Community","year":2005,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"Biosolids; Anaerobic digestion; Greenhouse gas; Waste management; Biogas; Environmental science; Metropolitan area; Tonne; Sewage sludge; Methane; Municipal solid waste; Population; Environmental engineering; Biodegradable waste; Environmental protection; Sewage; Business; Engineering; Geography; Chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008256611,0.0001644571,0.0001280328,0.0001695212,0.002089338,0.00006224042,0.001001528,0.00007655051,0.00008299107],"category_scores_gemma":[0.00003892005,0.00009497265,0.00003761882,0.0006726927,0.002999024,0.0005246647,0.001479406,0.0001864685,0.0002326244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842881,"about_ca_system_score_gemma":0.000005328941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370132,"about_ca_topic_score_gemma":0.0002854863,"domain_scores_codex":[0.9982429,0.00004274067,0.0001715845,0.0003266544,0.0003003847,0.000915708],"domain_scores_gemma":[0.9992651,0.00001826925,0.00005027132,0.0005872918,0.00001029643,0.00006872709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001217207,0.001343638,0.01999571,0.00004203703,0.00008840009,0.00001677987,0.007042899,0.001212234,0.8299674,0.01355457,0.02373884,0.1028757],"study_design_scores_gemma":[0.001264517,0.00114003,0.01323142,0.00001112821,0.00008519939,0.00006985969,0.01184,0.001959124,0.8679561,0.02955209,0.0722515,0.0006390193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580597,0.00006097693,0.003122533,0.01660282,0.00006472699,0.0008719768,0.000006155138,0.0001922278,0.02101888],"genre_scores_gemma":[0.9946654,0.00002986098,0.001361126,0.0003919318,0.00001112521,0.0001656704,0.000006394011,0.00001030138,0.003358118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1022367,"threshold_uncertainty_score":0.9997143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006832510318347134,"score_gpt":0.2351273241135175,"score_spread":0.2282948137951704,"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."}}