{"id":"W2066176061","doi":"10.1002/ep.10041","title":"Anaerobic treatment of waste beer","year":2004,"lang":"en","type":"article","venue":"Environmental Progress","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Chemical oxygen demand; Sequencing batch reactor; Anaerobic exercise; Bioreactor; Chemistry; Pulp and paper industry; Methane; Anaerobic digestion; Environmental science; Waste management; Wastewater; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000280911,0.0006033988,0.0005139842,0.0003521385,0.0003164001,0.0006291797,0.0002939709,0.0002664088,0.0006122091],"category_scores_gemma":[0.0001689056,0.0001295207,0.0003064075,0.0004313425,0.0001185278,0.0002645108,0.0003302031,0.0003331063,0.0002969653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902118,"about_ca_system_score_gemma":0.000408421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276064,"about_ca_topic_score_gemma":0.002293693,"domain_scores_codex":[0.9995261,0.00009485422,0.00003436225,0.00005550185,0.000206458,0.00008266289],"domain_scores_gemma":[0.9999307,0.00000812119,0.00001220787,0.000004905944,0.00002999022,0.00001397351],"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":[0.00006978279,0.00004414908,0.0003254687,0.0001418954,0.00001279573,0.00008176669,0.0000342454,0.0003232566,0.9940132,0.00003850745,0.00003876895,0.004876031],"study_design_scores_gemma":[0.000004669739,0.0001616628,0.002025362,0.0000162929,0.00001461483,0.0001070993,0.00006634256,0.001130236,0.9939597,0.00004188045,0.002466045,0.000006223525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905178,0.001782134,0.005090954,0.00007010638,0.00003566574,0.00004137803,0.000176598,0.00006317579,0.00222221],"genre_scores_gemma":[0.9853708,0.002033113,0.00747152,0.00006431391,0.00001170544,0.00003196797,0.0004576933,0.00003253001,0.004526342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002276064,"threshold_uncertainty_score":0.004525602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006029828143922791,"score_gpt":0.1864201849868776,"score_spread":0.1803903568429548,"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."}}