{"id":"W4379790735","doi":"10.1016/j.energy.2023.128061","title":"Treatment of soybean processing residues for energy recovery and environmental compliance: Technical and economic feasibility","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Anaerobic digestion; Biogas; Mesophile; Firmicutes; Pulp and paper industry; Methanogenesis; Food science; Methanosaeta; Biofuel; Biotechnology; Waste management; Environmental science; Methane; Chemistry; Biology; Engineering; Ecology","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":[0.00003006559,0.00007133804,0.0001016086,0.00003690661,0.00003686864,0.00000921536,0.00001853745,0.00003982766,0.000004796936],"category_scores_gemma":[0.000001873307,0.00006656932,0.00002072414,0.00002422207,0.00005115554,0.00005694802,0.000009983903,0.000009862412,5.296924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008002591,"about_ca_system_score_gemma":0.000005997819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004471103,"about_ca_topic_score_gemma":0.00009616788,"domain_scores_codex":[0.9996364,0.000004823905,0.0001049177,0.0001454216,0.00002409732,0.00008439679],"domain_scores_gemma":[0.9998652,0.00001317693,0.00001904292,0.00007200128,0.000002199428,0.00002840395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003377154,0.0002676251,0.01650349,0.0001951323,0.0001436368,0.000005425204,0.0003121525,0.01193464,0.1168572,0.03282344,0.004171495,0.816448],"study_design_scores_gemma":[0.005610571,0.002803791,0.2280842,0.0001951595,0.000166008,0.000116866,0.001053316,0.08200507,0.3921655,0.01475124,0.2715169,0.001531385],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957042,0.001316862,0.001820834,0.0001390876,0.0001501405,0.00008532852,0.00004672445,0.0002102557,0.0005265568],"genre_scores_gemma":[0.9977391,0.001253811,0.0003566805,0.000005156992,0.00006463615,0.00001941957,0.0000611366,0.00001058482,0.0004895196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8149166,"threshold_uncertainty_score":0.2714618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486456282424924,"score_gpt":0.2410508035206642,"score_spread":0.2161862406964149,"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."}}