{"id":"W3011211152","doi":"10.1007/s12010-020-03256-3","title":"Augmentation of Biogranules for Enhanced Performance of Full-Scale Lagoon-Based Municipal Wastewater Treatment Plants","year":2020,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University; Hyteon (Canada); University of Calgary","funders":"","keywords":"Kjeldahl method; Effluent; Biochemical oxygen demand; Sewage treatment; Wastewater; Pulp and paper industry; Chemical oxygen demand; Environmental science; Ammonium; Nitrogen; Phosphorus; Environmental engineering; Chemistry; Environmental chemistry","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":[0.00002886583,0.0001440514,0.0002023796,0.00002106373,0.0000472925,0.000002956192,0.0001159198,0.0001783094,0.00005445414],"category_scores_gemma":[0.00000148549,0.0001007143,0.00004841708,0.00009911305,0.0003023538,0.0000169741,0.0000539264,0.0000357743,0.000005758054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002345937,"about_ca_system_score_gemma":0.000005953829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001734785,"about_ca_topic_score_gemma":0.000005411334,"domain_scores_codex":[0.999301,0.000004199012,0.0001927285,0.0002646538,0.00007323926,0.0001642433],"domain_scores_gemma":[0.9996895,0.00001663324,0.0001041948,0.0001423011,0.000003237252,0.00004412714],"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":[0.0006765568,0.0001020439,0.0005866666,0.00006699709,0.00002885459,3.818585e-7,0.0001367382,0.00003784343,0.9927561,0.000004275937,0.0000111225,0.005592409],"study_design_scores_gemma":[0.001547092,0.0007124897,0.0001068295,0.000007700734,0.00003803738,0.00000213869,0.0002435761,0.0006227943,0.9964144,0.00001665292,0.0001809741,0.0001073446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990351,0.00002851728,0.00006233382,0.0004208435,0.000009531449,0.0002615779,0.00006817469,0.00003037819,0.00008361244],"genre_scores_gemma":[0.993441,0.00004476527,0.006298213,0.00002435805,0.00001065416,0.00004354191,0.0001038569,0.000007162355,0.00002648469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006235879,"threshold_uncertainty_score":0.4107012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010415341551537,"score_gpt":0.2043044206092206,"score_spread":0.1942002671937052,"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."}}