{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001194257,0.0003198198,0.000278536,0.00006626354,0.0001803674,0.0001304925,0.00008159557,0.0000639537,0.003655368],"category_scores_gemma":[0.000001146491,0.0002193193,0.00005680903,0.00005918054,0.0002783273,0.0001780202,0.000333427,0.00008743218,0.0002635256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156875,"about_ca_system_score_gemma":0.000002890177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002919108,"about_ca_topic_score_gemma":0.0004780916,"domain_scores_codex":[0.9982739,0.00018797,0.0002823432,0.0006450579,0.0001742384,0.0004364873],"domain_scores_gemma":[0.9995434,0.00003159747,0.00002985117,0.0002291724,0.000001166963,0.0001647831],"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":[0.0005966613,0.001211599,0.2127043,0.00004964911,0.0002073539,0.003476021,0.02398742,0.002596523,0.7209232,0.00003152747,0.0001671554,0.03404861],"study_design_scores_gemma":[0.003397293,0.0003140502,0.0103689,0.00004434139,0.00007041506,0.0003755261,0.001847847,0.00146096,0.8136498,0.0003678163,0.1674525,0.0006505586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977005,0.0008248611,0.00001318315,0.0003563154,0.00007727886,0.0003464782,0.00001944545,0.00001438249,0.0006476035],"genre_scores_gemma":[0.9550824,0.0004907685,0.002549251,0.00007230305,0.00003847014,0.00006462576,0.00009460274,0.00002438138,0.04158324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2023354,"threshold_uncertainty_score":0.9972554,"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."}}