{"id":"W2187076496","doi":"","title":"USING ANAEROBIC CO-DIGESTION WITH ADDITION OF MUNICIPAL ORGANIC WASTES AND PRE-TREATMENT TO ENHANCE BIOGAS PRODUCTION FROM WASTEWATER TREATMENT PLANT SLUDGE","year":2012,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Anaerobic digestion; Biogas production; Waste management; Biogas; Sewage treatment; Environmental science; Biodegradable waste; Sewage sludge treatment; Wastewater; Waste treatment; Production (economics); Sewage sludge; Pulp and paper industry; Chemistry; Methane; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520995,0.0006035647,0.000544631,0.0002679645,0.000234849,0.0007479028,0.0002867045,0.0004997232,0.0008050282],"category_scores_gemma":[0.0002667438,0.0002692008,0.0004554214,0.0003283951,0.0002096349,0.0004295936,0.0004945726,0.0004026174,0.0002746994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506956,"about_ca_system_score_gemma":0.0007785815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003028719,"about_ca_topic_score_gemma":0.007007709,"domain_scores_codex":[0.9997901,0.00002590824,0.0000266985,0.00005296159,0.00005718403,0.00004710016],"domain_scores_gemma":[0.9999095,0.00002290338,0.00001788423,0.000009386969,0.00001669958,0.00002359816],"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":[0.0003775521,0.0001832948,0.0002641021,0.00009674388,0.00001471309,0.00003636178,0.00001621725,0.0002806573,0.9942613,0.00002648859,0.0000359919,0.004406672],"study_design_scores_gemma":[0.00002049543,0.0002092728,0.00165138,0.000005465377,0.00002919922,0.00004544049,0.00001847466,0.0009097108,0.9965541,0.00001443217,0.0005353407,0.000006688049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952748,0.0008497036,0.002345682,0.0000986683,0.00009206655,0.00004557721,0.00007795166,0.00005345092,0.001162101],"genre_scores_gemma":[0.9946219,0.0005299575,0.002985029,0.00003785548,0.00001155287,0.00002203076,0.0001178566,0.00001560498,0.001658345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003028719,"threshold_uncertainty_score":0.006022155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00990241760872163,"score_gpt":0.1959805871850309,"score_spread":0.1860781695763093,"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."}}