{"id":"W2053059515","doi":"10.2166/wst.2007.604","title":"Benchmark simulation model no 2: general protocol and exploratory case studies","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Clarifier; Benchmark (surveying); Benchmarking; Activated sludge model; Activated sludge; Control (management); Protocol (science); Engineering; Sewage treatment; Implementation; Computer science; Systems engineering; Process engineering; Operations research; Waste management; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007043,0.001023662,0.0006645319,0.00107367,0.0007784642,0.001667752,0.002127794,0.001767049,0.01517887],"category_scores_gemma":[0.01180936,0.0005656937,0.0007856352,0.001592283,0.0007396117,0.0008794914,0.00142674,0.00152203,0.00225985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190942,"about_ca_system_score_gemma":0.002782855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00666226,"about_ca_topic_score_gemma":0.005344369,"domain_scores_codex":[0.9967001,0.00182277,0.0002811674,0.0002849416,0.000625056,0.0002859625],"domain_scores_gemma":[0.9948025,0.002573191,0.0002303152,0.0008661743,0.001324397,0.000203485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003205661,0.002171659,0.008049124,0.002212983,0.0001848676,0.0009753951,0.0007783123,0.8131263,0.01256079,0.08062936,0.0238017,0.05230392],"study_design_scores_gemma":[0.002069929,0.00413771,0.006623881,0.0009745411,0.0002223444,0.0004031255,0.001300227,0.6871782,0.0467894,0.04580501,0.2041718,0.0003238225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.3694575,0.001750478,0.4256912,0.002122206,0.0005530464,0.04773741,0.05922597,0.004291259,0.08917089],"genre_scores_gemma":[0.6225631,0.00217926,0.2460066,0.0004853978,0.0000711316,0.07373906,0.03690805,0.0006995702,0.0173478],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01517887,"threshold_uncertainty_score":0.05077833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298321205269008,"score_gpt":0.2988750348803367,"score_spread":0.2758918228276466,"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."}}