{"id":"W2161526922","doi":"10.1139/s05-038","title":"Thermophilic anaerobic acid digestion of biosolids: hydrolysis, acidification, and optimization of retention time of acid digestion","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acidogenesis; Anaerobic digestion; Hydrolysis; Biosolids; Chemistry; Sewage sludge; Population; Biomass (ecology); Digestion (alchemy); Pulp and paper industry; Environmental chemistry; Chromatography; Sewage treatment; Environmental engineering; Biochemistry; Agronomy; Environmental science; Biology; Methane; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006052248,0.0004586805,0.0006697391,0.0004379489,0.0002087959,0.0006517544,0.0002317218,0.0005076487,0.0003447027],"category_scores_gemma":[0.0004647421,0.0002438519,0.0005001173,0.0004088602,0.0002011294,0.0005202412,0.0002475374,0.0003666727,0.0001765991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734035,"about_ca_system_score_gemma":0.0005634556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008931085,"about_ca_topic_score_gemma":0.001350269,"domain_scores_codex":[0.9996946,0.00006773695,0.00003395406,0.00005680377,0.00008704152,0.00005992892],"domain_scores_gemma":[0.9997481,0.00005805331,0.00009449016,0.00001693338,0.00003618917,0.00004616247],"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":[0.0002025329,0.00007761447,0.0005541107,0.00007884793,0.000008882031,0.00003417867,0.00001234382,0.001992843,0.9930889,0.00005571089,0.00001080967,0.003883236],"study_design_scores_gemma":[0.00001684044,0.001007072,0.003258949,0.000008957644,0.00003045394,0.0001809162,0.00002443312,0.008626692,0.9862394,0.00004379294,0.0005469607,0.00001550635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989005,0.001936097,0.008565019,0.00003402033,0.000007763525,0.00002257392,0.00006209028,0.00003759403,0.0003297088],"genre_scores_gemma":[0.9897268,0.001129062,0.008398159,0.00001199171,0.000007447668,0.00001972725,0.0001186581,0.00001432999,0.0005737871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008931085,"threshold_uncertainty_score":0.003200769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003583267407173893,"score_gpt":0.1607885453575399,"score_spread":0.157205277950366,"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."}}