{"id":"W1982491617","doi":"10.2166/wst.2009.223","title":"Activated sludge modelling in practice: an international survey","year":2009,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs; Polytechnique Montréal","keywords":"Task group; Task (project management); Activated sludge; Work (physics); Good practice; Computer science; Knowledge management; Process management; Engineering; Engineering management; Systems engineering; Engineering ethics; Environmental engineering; Mechanical engineering; Sewage treatment","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007998171,0.0001295943,0.0001115734,0.0004363095,0.0001428127,0.00007441756,0.000915708,0.0001012943,0.0001270356],"category_scores_gemma":[0.00003861202,0.00009287727,0.00001636413,0.001078361,0.0004740667,0.001721162,0.0002179971,0.0001681351,0.0002718129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676972,"about_ca_system_score_gemma":0.00001603031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004288723,"about_ca_topic_score_gemma":0.0000646502,"domain_scores_codex":[0.9983967,0.00004214475,0.0001877429,0.0005214277,0.0003488872,0.0005030858],"domain_scores_gemma":[0.999505,0.00001015736,0.00004323251,0.0003458913,0.00002535859,0.00007040193],"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":[0.00006070746,0.0003227262,0.04209902,2.050714e-7,0.000003491644,0.00006070057,0.0005835107,0.006314693,0.9431611,0.0002483059,0.000009024682,0.007136532],"study_design_scores_gemma":[0.0004118404,0.0002408001,0.01905104,0.000003862903,0.000004545419,0.00006955949,0.0001411227,0.01184215,0.9643252,0.002570439,0.001125743,0.0002136218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947245,0.000004045399,0.0005017043,0.001747618,0.0001176789,0.0001219062,0.000001465502,0.0001163015,0.002664754],"genre_scores_gemma":[0.9881892,0.000007853328,0.0114996,0.0001458776,0.000009343064,0.000005493442,0.000009911717,0.000005435696,0.0001272705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02304797,"threshold_uncertainty_score":0.3787425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031762724846979,"score_gpt":0.2714847640343335,"score_spread":0.2511671367858637,"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."}}