{"id":"W3168815128","doi":"10.1061/9780784483466.044","title":"Nutrient Removal in Small Wastewater Treatment Facilities: Design and Operation","year":2021,"lang":"en","type":"article","venue":"World Environmental and Water Resources Congress 2021","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Sewage treatment; Wastewater; Waste management; Computer science; Nutrient; Environmental science; Environmental engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005830259,0.000487889,0.0003835332,0.0006627802,0.0006855044,0.0008801869,0.001321117,0.0007194819,0.002700045],"category_scores_gemma":[0.0005711992,0.0002913556,0.0004437619,0.0005319592,0.0003196988,0.0007707763,0.0004931025,0.0003802737,0.0008431808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176035,"about_ca_system_score_gemma":0.001384681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004329882,"about_ca_topic_score_gemma":0.00635511,"domain_scores_codex":[0.9994681,0.0000644353,0.00002606915,0.0001007805,0.0002726647,0.00006798888],"domain_scores_gemma":[0.9996507,0.00004439579,0.00007086751,0.0000322491,0.0001364973,0.00006533474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001024169,0.001230882,0.01407181,0.001392112,0.00004668751,0.0005340377,0.0002398561,0.06264315,0.6198791,0.003341616,0.00473411,0.2908625],"study_design_scores_gemma":[0.0003927682,0.009872788,0.05024755,0.0001754354,0.0002674036,0.001808074,0.0006143734,0.343127,0.5118264,0.003100635,0.07828826,0.0002794229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5040054,0.001898456,0.4694543,0.0007551156,0.0001457164,0.001281592,0.0007269869,0.002742758,0.01898965],"genre_scores_gemma":[0.8694135,0.000666555,0.1213451,0.00007314313,0.00003904447,0.000418653,0.0003755901,0.00008758395,0.007580804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004329882,"threshold_uncertainty_score":0.009032488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351036448702845,"score_gpt":0.1870370687621749,"score_spread":0.1735267042751464,"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."}}