{"id":"W4386813167","doi":"10.1016/j.psep.2023.09.038","title":"The effect of flow rate on the ammonia oxidation rate in the riverway biofilm in-situ remediation and modeling","year":2023,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydromantis Environmental Software Solutions (Canada)","funders":"Chunhui Project Foundation of the Education Department of China; National Key Research and Development Program of China; Natural Science Foundation of Shandong Province","keywords":"Biofilm; Hydraulics; Environmental remediation; Skewness; Volumetric flow rate; Environmental science; Environmental engineering; Flow (mathematics); Soil science; Environmental chemistry; Chemistry; Geotechnical engineering; Hydrology (agriculture); Geology; Mechanics; Ecology; Contamination; Thermodynamics; Biology; Mathematics; Bacteria; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287617,0.0001176411,0.00008511817,0.00003290166,0.0003179546,0.0000255669,0.00008532676,0.00004708077,0.000007390192],"category_scores_gemma":[0.00002209581,0.00005865445,0.00002009581,0.0002096799,0.0001287052,0.0001751653,0.0000500911,0.0001359347,0.00002530097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007349677,"about_ca_system_score_gemma":0.000001503103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009405771,"about_ca_topic_score_gemma":0.0001431161,"domain_scores_codex":[0.999006,0.0002953399,0.0001708601,0.0002036014,0.000170858,0.0001533808],"domain_scores_gemma":[0.9996855,0.0001265968,0.00006677968,0.0001039022,7.327013e-7,0.00001644991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003003579,0.0001406545,0.03426253,0.0001057427,0.00003916877,0.000009153097,0.006122899,0.303524,0.5531358,0.00003087724,0.000007586573,0.09961801],"study_design_scores_gemma":[0.001773264,0.0006578363,0.1891763,0.00005788431,0.000032109,0.000007598699,0.001443316,0.6140143,0.1909938,0.001546119,0.00008232567,0.0002150948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981214,0.00004039957,0.0002327021,0.0006393166,0.00002710213,0.0008407262,0.000002466884,0.00001081781,0.00008503393],"genre_scores_gemma":[0.9993221,0.0004591264,0.00001011717,0.00001869013,0.00001313813,0.0001274121,0.00001673152,0.000006994569,0.00002571584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.362142,"threshold_uncertainty_score":0.2445482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051836423488735,"score_gpt":0.2032033759557365,"score_spread":0.1926850117208491,"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."}}