{"id":"W2416734278","doi":"10.2175/106143011x13233670703404","title":"An Assessment of the Feasibility of Employing Biochemical Acidogenic Potential Tests for Characterizing Anaerobic Biodegradability of Raw and Pretreated Waste Activated Sludge","year":2012,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Acidogenesis; Biodegradation; Anaerobic digestion; Chemistry; Methanogenesis; Activated sludge; Chemical oxygen demand; Fatty acid; Anaerobic exercise; Methane; Food science; Raw material; Volatile suspended solids; Environmental chemistry; Biochemistry; Pulp and paper industry; Waste management; Organic chemistry; Wastewater; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002491297,0.0008501784,0.0003780206,0.001005058,0.0002187662,0.0009412447,0.000594453,0.001106794,0.0003628636],"category_scores_gemma":[0.004412407,0.0004282187,0.0005114507,0.0006737325,0.0005319729,0.0007284954,0.0004745502,0.0004888141,0.0002430407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232194,"about_ca_system_score_gemma":0.0004089765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000890917,"about_ca_topic_score_gemma":0.001292492,"domain_scores_codex":[0.9981954,0.0006719289,0.0001768428,0.0002017167,0.0006434543,0.0001107919],"domain_scores_gemma":[0.9965943,0.001861521,0.0004511202,0.0002171914,0.0007243627,0.0001516191],"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":[0.0004684828,0.0002164435,0.01587371,0.0001458171,0.0000323699,0.00007425914,0.00003916571,0.001601082,0.9671245,0.00006097239,0.00001294716,0.01435007],"study_design_scores_gemma":[0.0000230286,0.003672397,0.02008205,0.00002029704,0.00008194112,0.000277327,0.000109502,0.01238198,0.962511,0.0001903092,0.0006095538,0.00004054894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789291,0.0006715672,0.01934652,0.00008245845,0.00001781443,0.00008903733,0.0002694571,0.00006706216,0.0005269241],"genre_scores_gemma":[0.9760035,0.0003999633,0.02284933,0.00002712058,0.000008366127,0.00005725919,0.000237118,0.000008321375,0.00040899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002491297,"threshold_uncertainty_score":0.01317537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06062318698873149,"score_gpt":0.3386454668612764,"score_spread":0.2780222798725449,"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."}}