{"id":"W4392915819","doi":"10.32920/25412731.v1","title":"Co-Digestion of Primary Sludge and Waste Activated Sludge for Methane Production","year":2024,"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; Wastewater; Sewage treatment; Pulp and paper industry; Methane; Waste management; Hydraulic retention time; Yield (engineering); Environmental science; Chemistry; Environmental engineering; Materials science; Engineering","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":[0.0003693339,0.0004175444,0.0008514901,0.000408343,0.0002098351,0.000466283,0.0002731974,0.0004822968,0.001279594],"category_scores_gemma":[0.0003372618,0.0002787907,0.0007444783,0.0004836778,0.0001819489,0.0003007408,0.0005057744,0.0004729689,0.000917852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201358,"about_ca_system_score_gemma":0.0006026818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131803,"about_ca_topic_score_gemma":0.002368098,"domain_scores_codex":[0.9996251,0.00006622724,0.00002835548,0.00007352301,0.000132156,0.00007468218],"domain_scores_gemma":[0.9997708,0.00006792428,0.00003198239,0.00002856382,0.00004852062,0.00005227985],"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":[0.0002579802,0.00006587958,0.0003459449,0.00009171612,0.00001245165,0.00005313653,0.000008733316,0.0003724281,0.996331,0.00003033081,0.00002951793,0.00240078],"study_design_scores_gemma":[0.00001074959,0.000237307,0.001369459,0.000004895597,0.00001616955,0.00008794726,0.00001126928,0.002213434,0.9953194,0.00002221139,0.0007035465,0.000003599179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900572,0.001116988,0.006787031,0.00005739888,0.00009063516,0.00005265238,0.0001298643,0.00008117576,0.001627103],"genre_scores_gemma":[0.9873705,0.0004773985,0.007575114,0.00002689402,0.00001427162,0.00003791268,0.0001798009,0.000028042,0.004290095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001279594,"threshold_uncertainty_score":0.004280686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134466548481409,"score_gpt":0.2497779930690348,"score_spread":0.2284333275842207,"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."}}