{"id":"W2087389781","doi":"10.2166/wst.2007.346","title":"RTD (residence time distribution) predictions in large mechanically aerated lagoons","year":2007,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Process Simulations Limited (Canada)","funders":"","keywords":"Residence time distribution; Aeration; Inlet; Computational fluid dynamics; Baffle; Residence time (fluid dynamics); Environmental science; Environmental engineering; TRACER; Flow (mathematics); Wastewater; Engineering; Marine engineering; Mechanics; Waste management; Mechanical engineering; Geotechnical engineering","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":[0.0003404702,0.000372138,0.0002742603,0.0004817013,0.0002367056,0.0004788079,0.0002580728,0.0004690244,0.0006550952],"category_scores_gemma":[0.001057586,0.0001749651,0.0003818739,0.000281616,0.0003166551,0.0003911807,0.0003059883,0.0002572359,0.0001580578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009859655,"about_ca_system_score_gemma":0.0007547188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213129,"about_ca_topic_score_gemma":0.01004867,"domain_scores_codex":[0.9999309,0.00001247649,0.000004667203,0.00001694032,0.00001672796,0.0000183936],"domain_scores_gemma":[0.9995614,0.0002525035,0.00006309795,0.00002802439,0.00005719348,0.00003772317],"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":[0.00005958719,0.00001700729,0.00432836,0.0000143911,0.00000347924,0.00006916574,0.00001996646,0.9828663,0.008805694,0.0002688192,0.0000765454,0.003470592],"study_design_scores_gemma":[0.000005008455,0.00002087509,0.0007985702,0.000001270068,0.00000132662,0.000007433036,0.00000846087,0.9967637,0.002232503,0.0000895654,0.00006672988,0.000004501967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529881,0.0001255936,0.04533782,0.0000596797,0.000009973554,0.00001677225,0.0002650847,0.0002953054,0.0009017267],"genre_scores_gemma":[0.9954752,0.00005768262,0.003904513,0.000006447753,0.00000157998,0.00001283707,0.0001159541,0.00002126315,0.0004045956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213129,"threshold_uncertainty_score":0.04400498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003152513288129098,"score_gpt":0.2050970936283275,"score_spread":0.2019445803401984,"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."}}