{"id":"W4362683634","doi":"10.2139/ssrn.4411943","title":"Post-Hydrolysis Versus Side-Stream Ammonia Stripping in Semi-Continuous Two-Stage Anaerobic Digestion of High Nitrogen Feedstock","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Raw material; Hydrolysis; Anaerobic digestion; Ammonia; Stripping (fiber); Chemistry; Nitrogen; Pulp and paper industry; Anaerobic exercise; Digestion (alchemy); Chromatography; Biochemistry; Organic chemistry; Materials science; Biology; Methane; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235195,0.0001883092,0.0003572656,0.00008768978,0.0001444355,0.0004284973,0.0002641953,0.0002728738,0.00137168],"category_scores_gemma":[0.0002662849,0.0001327841,0.0002734668,0.0001264754,0.0001827909,0.000290718,0.0002122874,0.0003551759,0.0002805745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948096,"about_ca_system_score_gemma":0.0002331512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180895,"about_ca_topic_score_gemma":0.002649335,"domain_scores_codex":[0.9998631,0.00001952926,0.00000859558,0.00003046009,0.00003747141,0.0000407958],"domain_scores_gemma":[0.9998745,0.00005848032,0.0000134257,0.00001216335,0.00002052465,0.0000209392],"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":[0.002938005,0.000131143,0.0005819677,0.0001208632,0.00001884421,0.00005251729,0.00002842432,0.0008906645,0.9872025,0.00006760147,0.00007380439,0.007893763],"study_design_scores_gemma":[0.00002511585,0.000641681,0.004351877,0.000003841747,0.00002226629,0.00004396186,0.00003369033,0.007474399,0.9870199,0.0000322256,0.0003436978,0.000007356985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985928,0.000237763,0.000605738,0.00001601854,0.0000164036,0.000002970068,0.00004595565,0.00001110444,0.0004711786],"genre_scores_gemma":[0.9983739,0.0001242679,0.0003879156,0.000006827338,0.00000509433,0.000002020965,0.00005214998,0.000005154337,0.001042587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00180895,"threshold_uncertainty_score":0.004588723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150835697108986,"score_gpt":0.2330740748259227,"score_spread":0.2215657178548328,"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."}}