{"id":"W4322743365","doi":"10.3390/fermentation9030237","title":"Supplemental Sewage Scum and Organic Municipal Solid Waste Addition to the Anaerobic Digestion of Thickened Waste Activated Sludge: Biomethane Potential and Microbiome Analysis","year":2023,"lang":"en","type":"article","venue":"Fermentation","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogas; Anaerobic digestion; Methanogenesis; Bioenergy; Methanogen; Municipal solid waste; Biodegradable waste; Waste management; Sewage sludge; Sewage treatment; Environmental science; Pulp and paper industry; Methane; Activated sludge; Biofuel; Environmental engineering; Biology; Ecology; Engineering","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":[0.0002564951,0.0001517526,0.0001733516,0.0006038012,0.0001364696,0.00005413861,0.00007107275,0.00007147437,0.0001440803],"category_scores_gemma":[0.00001449573,0.0001321957,0.0000474802,0.001818447,0.00005458724,0.0002394152,0.00005698947,0.00008181375,0.00001879364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007025773,"about_ca_system_score_gemma":0.000008046522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007569524,"about_ca_topic_score_gemma":0.0001060829,"domain_scores_codex":[0.9990506,0.00006841307,0.0002733339,0.0002389403,0.0001689553,0.0001997405],"domain_scores_gemma":[0.9996352,0.00001584652,0.00007487222,0.0001570808,0.00005215644,0.0000649092],"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":[0.00004117364,0.00001821271,0.0001128582,0.00002189245,0.0002158207,0.00000114166,0.001071119,0.007868477,0.9886883,0.00004435956,0.0006936212,0.001222987],"study_design_scores_gemma":[0.001007406,0.0002116082,0.04954002,0.00004015879,0.0005348375,0.00001294742,0.00569986,0.01048022,0.9318544,0.00004167215,0.0002906646,0.0002862068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973679,0.00002564284,0.001059709,0.0005817318,0.000262243,0.0003481187,0.0002005274,0.0001446471,0.00000948812],"genre_scores_gemma":[0.996442,0.0001711589,0.0002087448,0.00003283885,0.00008116797,0.00002365401,0.002876061,0.00002029997,0.0001440691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05683394,"threshold_uncertainty_score":0.5390784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009152184946556131,"score_gpt":0.2407448381386008,"score_spread":0.2315926531920447,"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."}}