{"id":"W2944880475","doi":"10.1016/j.rser.2019.05.002","title":"Recent developments on thermal municipal sludge pretreatment technologies for enhanced anaerobic digestion","year":2019,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":231,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Anaerobic digestion; Waste management; Sewage treatment; Environmental science; Reuse; Resource recovery; Thermal hydrolysis; Sewage sludge treatment; Renewable resource; Renewable energy; Wastewater; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002740144,0.0002396719,0.0003285817,0.0001272682,0.0001315184,0.00004384744,0.0001082919,0.0001313289,0.00003058088],"category_scores_gemma":[0.00005084743,0.0001890257,0.00005849708,0.0002597141,0.00002356357,0.0001718408,0.00004365112,0.00006576751,0.00001437665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434959,"about_ca_system_score_gemma":0.00002969463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006981169,"about_ca_topic_score_gemma":0.0000250402,"domain_scores_codex":[0.9988303,0.00003102711,0.000284548,0.0003153778,0.00009063647,0.0004481564],"domain_scores_gemma":[0.9995,0.00002183539,0.00006469052,0.000293375,0.00007196927,0.0000481711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001589823,0.0001943514,0.0002480783,0.0007029832,0.0001621972,0.000006843278,0.000322938,0.06490951,0.02237889,0.04948987,0.005297674,0.8561277],"study_design_scores_gemma":[0.0004131666,0.000218402,0.0000664066,0.000114786,0.00002028502,0.00000184513,0.000464689,0.0002534297,0.05757347,0.0002701608,0.9403685,0.0002348553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646038,0.1607283,0.01047176,0.001123213,0.00178573,0.005804764,0.00001191232,0.002411853,0.05305869],"genre_scores_gemma":[0.707952,0.2477078,0.001722523,0.0001314398,0.00007287319,0.000775226,0.0001324803,0.00005703075,0.04144863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9350708,"threshold_uncertainty_score":0.7708245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232696637586892,"score_gpt":0.2258401308493926,"score_spread":0.2135131644735237,"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."}}