{"id":"W2076603071","doi":"10.1016/s0043-1354(02)00089-1","title":"A combined transfer-function noise model to predict the dynamic behavior of a full-scale primary sedimentation tank","year":2002,"lang":"en","type":"article","venue":"Water Research","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sedimentation; Transfer function; Effluent; Full scale; Environmental science; Function (biology); Noise (video); Scale (ratio); Computer science; Engineering; Environmental engineering; Cartography; Geography; Geology","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":[0.0003073156,0.0006917719,0.0005157716,0.0003127303,0.0003703357,0.000544914,0.0008354572,0.001398959,0.001110102],"category_scores_gemma":[0.0009083698,0.0004169935,0.0005912893,0.0002347165,0.0003268764,0.0007309598,0.0004116585,0.0006516985,0.0003982317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007381879,"about_ca_system_score_gemma":0.00082706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738956,"about_ca_topic_score_gemma":0.01001279,"domain_scores_codex":[0.9998878,0.00001908272,0.000006106518,0.00003092342,0.00004131426,0.00001468334],"domain_scores_gemma":[0.999762,0.0001022154,0.00002346639,0.00001566456,0.00008107258,0.00001566044],"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":[0.00002437462,0.00001950306,0.000359221,0.000009993731,0.000009302114,0.00002295512,0.000008829619,0.9924197,0.002139249,0.0003168814,0.000115558,0.004554424],"study_design_scores_gemma":[0.00000159755,0.00000515425,0.00005114635,4.142546e-7,0.000001980513,0.000001760124,5.448936e-7,0.9996681,0.0001928738,0.00004685505,0.00002848787,0.000001102332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460164,0.0001672552,0.8481199,0.0001632257,0.000107082,0.00004835732,0.00011971,0.001396107,0.003861928],"genre_scores_gemma":[0.969043,0.00009087935,0.02517296,0.00004247807,0.00002213703,0.00007610828,0.000108721,0.0000874074,0.005356296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01738956,"threshold_uncertainty_score":0.03457671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05396886858743483,"score_gpt":0.3085111325964559,"score_spread":0.2545422640090211,"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."}}