{"id":"W3015629639","doi":"10.1016/j.cej.2020.124911","title":"High-loading food waste and blackwater anaerobic co-digestion: Maximizing bioenergy recovery","year":2020,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Biogas; Anaerobic digestion; Bioenergy; Blackwater; Chemical oxygen demand; Pulp and paper industry; Food waste; Chemistry; Sewage treatment; Wastewater; Methane; Waste management; Environmental science; Anaerobic exercise; Biofuel; Animal science; Environmental engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009374672,0.0002176149,0.0002224267,0.00009273989,0.00005917778,0.0001223207,0.0001107664,0.0001206935,0.0000461616],"category_scores_gemma":[0.0000612494,0.0002116981,0.00007141769,0.0001739789,0.00002825154,0.000265934,0.00002899873,0.0004582596,0.00001418914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008554634,"about_ca_system_score_gemma":0.000009722732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.071579e-7,"about_ca_topic_score_gemma":3.778704e-8,"domain_scores_codex":[0.9990467,0.00000753806,0.0002925166,0.0001994117,0.0001474422,0.0003063918],"domain_scores_gemma":[0.999504,0.00001852051,0.0000376729,0.00008635037,0.00003375285,0.0003197361],"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":[0.0000236621,0.00001005707,0.00003476368,0.0000623966,0.0001102016,0.00002224581,0.0001297292,0.2558785,0.7362937,0.001028558,0.002683518,0.003722609],"study_design_scores_gemma":[0.0009127234,0.0001876731,0.00008268378,0.0001722503,0.00004973583,0.0004469155,0.0001168333,0.03050712,0.9561363,0.00008265879,0.01066927,0.0006358281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345337,0.0007904666,0.06199277,0.001021688,0.0009140964,0.00006797569,0.00000587381,0.000562621,0.000110879],"genre_scores_gemma":[0.9865007,0.0003142104,0.01166782,0.0001143568,0.001315325,0.000002936694,0.00001407707,0.00005202616,0.00001857422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2253714,"threshold_uncertainty_score":0.8632799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001171466199639,"score_gpt":0.1734344933018216,"score_spread":0.1634227786398252,"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."}}