{"id":"W4302012044","doi":"10.32920/ryerson.14657361","title":"Fermentation of thickened waste activated sludge for volatile fatty acids","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Activated sludge; Fermentation; Chemistry; Anaerobic digestion; Chemical oxygen demand; Hydrolysis; Sewage treatment; Waste management; Pulp and paper industry; Food science; Volatile fatty acids; Fatty acid; Chromatography; Biochemistry; Organic chemistry; Methane","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":[0.0002678411,0.0006232446,0.0006106669,0.0002561141,0.0001591869,0.0005261881,0.000136348,0.0003394369,0.0006083333],"category_scores_gemma":[0.0002308721,0.0001696725,0.0006572646,0.0004737795,0.0001058557,0.0003339355,0.000387695,0.0005551393,0.000261914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450364,"about_ca_system_score_gemma":0.0002873706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820037,"about_ca_topic_score_gemma":0.002234507,"domain_scores_codex":[0.9997707,0.00004124513,0.00003086185,0.00004037493,0.00006862685,0.00004811471],"domain_scores_gemma":[0.9998854,0.00002333148,0.0000231029,0.00001119854,0.00003051281,0.00002639742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000937509,0.00003205073,0.0001279107,0.00003676671,0.000004875707,0.00004629645,0.0000155909,0.0002416762,0.998535,0.00001228839,0.000007641162,0.000846028],"study_design_scores_gemma":[0.00001005396,0.00066422,0.00517713,0.0000256998,0.00001984927,0.00007273965,0.00008561366,0.001822841,0.9911623,0.00004003484,0.0009086342,0.00001087561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972503,0.000489755,0.001180626,0.00003921941,0.00002724173,0.00002383037,0.0002486501,0.00001351244,0.0007268213],"genre_scores_gemma":[0.9869288,0.00124034,0.007473923,0.00004838513,0.00001331029,0.00002798853,0.001081738,0.00002023651,0.003165178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820037,"threshold_uncertainty_score":0.003618896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177350908353977,"score_gpt":0.2550432537801904,"score_spread":0.2332697446966506,"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."}}