{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000601022,0.0001577566,0.0001338396,0.0002623033,0.0004410744,0.00003216781,0.0002370799,0.0000874771,0.00004897774],"category_scores_gemma":[0.00002135707,0.0001012758,0.00001978937,0.0004749373,0.001715912,0.0005218575,0.0005840595,0.00009061435,0.0001602548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743205,"about_ca_system_score_gemma":0.00001106401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001390588,"about_ca_topic_score_gemma":0.00003644793,"domain_scores_codex":[0.9985225,0.00001059623,0.000198639,0.0004813014,0.0002456985,0.0005413311],"domain_scores_gemma":[0.9995523,0.00001000689,0.0000394484,0.0002774127,0.00003392743,0.0000868789],"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":[0.00007497708,0.0001457406,0.02133267,0.00001589955,0.00001634809,0.001384935,0.003261809,0.01806708,0.9435471,0.0002538371,0.00009075077,0.01180884],"study_design_scores_gemma":[0.0007438704,0.0003050068,0.0001696797,0.000007655652,0.00001604271,0.0007010505,0.0005633524,0.08605985,0.904149,0.005413833,0.001527333,0.0003433494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927961,0.000007789718,0.0008402817,0.0001037412,0.00005491003,0.005563684,7.507311e-7,0.0001195664,0.0005132304],"genre_scores_gemma":[0.9809928,0.000001005766,0.01639196,0.00005610276,0.00001985379,0.002159309,6.142046e-7,0.000007973262,0.0003704135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06799277,"threshold_uncertainty_score":0.6322351,"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."}}