{"id":"W4288056371","doi":"10.1016/j.biortech.2022.127705","title":"Acidogenic fermentation of food waste in a leachate bed reactor (LBR) at high volumetric organic Loading: Effect of granular activated carbon (GAC) and sequential enrichment of inoculum","year":2022,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acidogenesis; Leachate; Hydrolysis; Fermentation; Chemistry; Yield (engineering); Pulp and paper industry; Food science; Food waste; Waste management; Anaerobic digestion; Methane; Environmental chemistry; Biochemistry; Materials science; Organic chemistry","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":[0.0004469451,0.0006128542,0.0007898039,0.0003437105,0.0003387373,0.0008062212,0.0002654433,0.0004514492,0.0004498363],"category_scores_gemma":[0.000296954,0.0002210631,0.00047935,0.0003676433,0.0002490867,0.0004135595,0.0003397175,0.0004990541,0.0002568044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004327618,"about_ca_system_score_gemma":0.0006557017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00405729,"about_ca_topic_score_gemma":0.003628027,"domain_scores_codex":[0.9997258,0.00005533744,0.00003842738,0.00005133353,0.00005317488,0.00007597935],"domain_scores_gemma":[0.9998347,0.00004162409,0.00002010626,0.00001033601,0.00002847436,0.00006470925],"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":[0.00106704,0.0001251993,0.000438691,0.00005662632,0.00001276452,0.000082963,0.00002399651,0.0003506192,0.9965023,0.00002081903,0.00001707414,0.001302002],"study_design_scores_gemma":[0.00005184242,0.0008740071,0.003549264,0.00001086334,0.00003051212,0.00007760798,0.00006956316,0.001891447,0.9931781,0.00002422935,0.0002277332,0.00001470522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989281,0.0002235706,0.0004508096,0.00003095591,0.00001611564,0.000007952432,0.0001019635,0.00001662963,0.0002239126],"genre_scores_gemma":[0.997901,0.0002478194,0.0009483497,0.00002060662,0.000008191393,0.000008788652,0.0002041797,0.000008681624,0.0006524342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00405729,"threshold_uncertainty_score":0.008067369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004966253807583041,"score_gpt":0.1848292519930591,"score_spread":0.1798629981854761,"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."}}