{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002338652,0.000248421,0.0002247078,0.000222003,0.0001142959,0.00002506019,0.00006854934,0.00009348243,0.000133736],"category_scores_gemma":[0.000003527122,0.0002154258,0.0000385664,0.00028079,0.0000606842,0.001208002,0.00003239932,0.00006313033,0.00001524505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018555,"about_ca_system_score_gemma":0.00003006168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906626,"about_ca_topic_score_gemma":0.0000829348,"domain_scores_codex":[0.9991367,0.00005710811,0.0001226505,0.000299223,0.0001183829,0.0002659226],"domain_scores_gemma":[0.9994699,0.00001799073,0.00007122389,0.0002552402,0.00002104319,0.0001645385],"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":[0.00913933,0.005643398,0.2337587,0.0004535537,0.004284038,0.0001783933,0.05431603,0.0945377,0.5302881,0.009856179,0.0474158,0.01012878],"study_design_scores_gemma":[0.0005016195,0.0008004013,0.01256168,0.0001493973,0.0001900398,0.000003958456,0.001386644,0.00006800495,0.9566591,0.000009352644,0.02730644,0.0003633023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969113,0.00004857966,0.0002501754,0.001660538,0.0001845514,0.0004262317,0.0001422887,0.0002572193,0.0001191057],"genre_scores_gemma":[0.9920922,0.0004242646,0.004309963,0.000007324081,0.0001470824,0.000002606954,0.00040971,0.00003187243,0.002574967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4263711,"threshold_uncertainty_score":0.878481,"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."}}