{"id":"W4285284110","doi":"10.2139/ssrn.4127758","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":"SSRN Electronic Journal","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Carleton University","funders":"","keywords":"Acidogenesis; Leachate; Chemistry; Fermentation; Hydrolysis; Yield (engineering); Food science; Food waste; Pulp and paper industry; Anaerobic digestion; Waste management; Methane; Environmental chemistry; Biochemistry; Organic chemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474543,0.0001293023,0.0003193052,0.0001437811,0.0001280242,0.00000915868,0.0002137783,0.00005839898,0.00007665882],"category_scores_gemma":[0.00004898907,0.00006086145,0.0001040689,0.001096005,0.00004833794,0.0000719615,0.000150973,0.0006652696,2.481019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007152245,"about_ca_system_score_gemma":0.0001366949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007641781,"about_ca_topic_score_gemma":0.0007692137,"domain_scores_codex":[0.9976347,0.000475485,0.0003816856,0.0001943482,0.0005263258,0.0007874719],"domain_scores_gemma":[0.9994009,0.00009153832,0.0003386897,0.0000477134,0.00006091762,0.00006030455],"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":[0.0003798717,0.0001119758,0.02418363,0.00002377604,0.00009376252,0.000001875776,0.0001256766,0.000006341798,0.9695554,0.000105067,8.336407e-7,0.005411742],"study_design_scores_gemma":[0.001813943,0.009690659,0.06325986,0.00002136092,0.00007530606,0.0001066939,0.001634976,0.00006277898,0.9217795,0.001399476,0.000004918798,0.0001505064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981793,0.001356647,0.000001051951,0.00009490506,0.00005684712,0.0002852365,0.00000994124,0.000005151541,0.00001090219],"genre_scores_gemma":[0.998952,0.0009252056,0.000002048861,0.000002293991,0.00003473052,0.000009610861,0.00002172512,0.000002457244,0.00004993606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04777593,"threshold_uncertainty_score":0.2890303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008780583653685697,"score_gpt":0.2198712028024932,"score_spread":0.2110906191488075,"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."}}