{"id":"W2041333650","doi":"10.1016/j.biortech.2009.06.051","title":"Enzymatic hydrolysis of cellulosic municipal wastewater treatment process residuals as feedstocks for the recovery of simple sugars","year":2009,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Biosolids; Chemistry; Hydrolysis; Activated sludge; Cellulosic ethanol; Cellulose; Pulp and paper industry; Enzymatic hydrolysis; Waste management; Sugar; Sewage sludge; Reducing sugar; Sewage treatment; Wastewater; Food science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001079178,0.0001525669,0.0002670895,0.0002646027,0.00005485766,0.000005051639,0.0002569561,0.0002239052,0.00004298103],"category_scores_gemma":[0.00003138272,0.0001015286,0.0001065931,0.0003285978,0.0001349614,0.0000271337,0.00002176392,0.00008045016,0.000007413872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247178,"about_ca_system_score_gemma":0.00001146093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003084173,"about_ca_topic_score_gemma":0.000004708134,"domain_scores_codex":[0.9992057,0.00001294677,0.0002990329,0.0001709026,0.00009578636,0.000215597],"domain_scores_gemma":[0.9993464,0.00004920034,0.00009515599,0.0004482702,0.00003726379,0.0000237055],"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":[0.0004091573,0.0004499332,0.000790115,0.0007777268,0.0005539751,0.000003453642,0.002563582,0.008586282,0.9061508,0.0003724008,0.002424951,0.07691766],"study_design_scores_gemma":[0.0005441039,0.0009163579,0.0001165096,0.00002370415,0.0001081845,0.00000825095,0.00116471,0.003587071,0.9806593,0.001666523,0.01107384,0.0001314556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966266,0.001069657,0.00006625723,0.001277145,0.00005679849,0.0005042078,0.00001639463,0.0002032239,0.0001797773],"genre_scores_gemma":[0.9993209,0.0001173021,0.0002287661,0.00002424672,0.0000300839,0.00004102184,0.000009711222,0.00001589448,0.0002120499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07678621,"threshold_uncertainty_score":0.4140218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055851403608934,"score_gpt":0.2315160593013249,"score_spread":0.2209575452652355,"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."}}