{"id":"W2425407157","doi":"10.2175/106143016x14504669768291","title":"Sequential Anaerobic/Aerobic Digestion for Enhanced Carbon/Nitrogen Removal and Cake Odor Reduction","year":2016,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Anaerobic digestion; Effluent; Aerobic digestion; Digestion (alchemy); Pulp and paper industry; Wastewater; Sewage treatment; Chemistry; Anaerobic exercise; Fecal coliform; Waste management; Odor; Nutrient; Environmental science; Environmental engineering; Methane; Biology; Water quality; Chromatography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008578292,0.0002529422,0.0002004907,0.0001085102,0.0003517613,0.00006068281,0.0002171276,0.0001379109,0.001272201],"category_scores_gemma":[0.00001257639,0.0001507235,0.00008561135,0.00008169837,0.0006057931,0.0002659569,0.0003884993,0.0001344836,0.0005660597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392818,"about_ca_system_score_gemma":0.000009374717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000294101,"about_ca_topic_score_gemma":0.00002204414,"domain_scores_codex":[0.9971153,0.0002262321,0.0002730303,0.0007891492,0.0006707289,0.000925631],"domain_scores_gemma":[0.9992654,0.00004992824,0.00004028366,0.0004105999,0.00001066046,0.0002231161],"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":[0.0002191508,0.00009859949,0.001554902,0.000008029521,0.00003747893,0.0000153159,0.0002836635,0.00002592716,0.9891867,0.00002202861,0.0002001547,0.008348037],"study_design_scores_gemma":[0.001330765,0.0003972584,0.001371352,0.0000170055,0.00003165775,0.0000599522,0.00005828113,0.00004026657,0.9847621,0.001930563,0.009755154,0.0002457008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971219,0.00005470305,0.0003163377,0.0008310619,0.0001068611,0.000966622,0.00001149484,0.00004450168,0.0005465414],"genre_scores_gemma":[0.9854358,0.0001535586,0.004155194,0.000009112285,0.0001821015,0.0002416784,0.00005006478,0.00004557411,0.00972685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168601,"threshold_uncertainty_score":0.9996408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303030059588766,"score_gpt":0.2732804207729683,"score_spread":0.2402501201770807,"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."}}