{"id":"W4406315944","doi":"10.1016/j.biteb.2025.102032","title":"Enhancing low-temperature anaerobic digestion of nitrogen-rich feedstocks: Mitigating free ammonia and short-chain fatty acid inhibitions","year":2025,"lang":"en","type":"article","venue":"Bioresource Technology Reports","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Ammonia; Chemistry; Anaerobic digestion; Nitrogen; Digestion (alchemy); Fatty acid; Pulp and paper industry; Food science; Environmental chemistry; Biochemistry; Chromatography; Methane; 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":[0.0002214269,0.0004306938,0.0003658189,0.0001605648,0.0001498057,0.000521677,0.0002352437,0.000278019,0.0005311812],"category_scores_gemma":[0.0002076412,0.0001429342,0.0003745379,0.0001548215,0.000200503,0.0003505651,0.0002472904,0.0004081159,0.0002604095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393092,"about_ca_system_score_gemma":0.0002331974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575182,"about_ca_topic_score_gemma":0.003535389,"domain_scores_codex":[0.9998246,0.00002394956,0.0000133591,0.00003501897,0.00006782418,0.00003526624],"domain_scores_gemma":[0.9999057,0.00001434909,0.00002701608,0.000005978066,0.00003191099,0.00001491862],"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":[0.00006071932,0.00002368645,0.0002659918,0.0000746839,0.000005229929,0.00002509904,0.000007722496,0.0002906536,0.997612,0.00001551228,0.00001196113,0.001606683],"study_design_scores_gemma":[0.000004361923,0.0002294682,0.002537079,0.00001150415,0.00001738347,0.00005227416,0.00003365136,0.001843339,0.9943915,0.0000230891,0.0008482834,0.000007987633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931786,0.001344589,0.004259598,0.00004656239,0.000026039,0.00002451303,0.000114004,0.00005217799,0.0009539347],"genre_scores_gemma":[0.9938508,0.0009329843,0.003957056,0.00003040146,0.000006888776,0.00002004159,0.0001454097,0.00001568764,0.001040736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575182,"threshold_uncertainty_score":0.003131986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003653514238701469,"score_gpt":0.1974364900156508,"score_spread":0.1937829757769493,"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."}}