{"id":"W4392603373","doi":"10.5194/egusphere-egu24-10537","title":"Tracing and quantifying microbes in riverbank filtration sites combining online flow cytometry and integrated surface water – groundwater modelling","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Tracing; Groundwater; Filtration (mathematics); Flow cytometry; Surface water; Environmental science; Groundwater flow; Flow (mathematics); Chemistry; Hydrology (agriculture); Computer science; Environmental engineering; Geology; Biology; Geotechnical engineering; Aquifer; Physics; Molecular biology; Mechanics; Mathematics","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":[0.0002802495,0.0006646107,0.0004018024,0.0005429889,0.0002439542,0.0007083936,0.0007280862,0.0008190579,0.001129226],"category_scores_gemma":[0.000378284,0.000243055,0.0005476006,0.0005136878,0.0002694386,0.0006884847,0.0005857719,0.0004820649,0.0002371518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101037,"about_ca_system_score_gemma":0.0007029125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123989,"about_ca_topic_score_gemma":0.00980533,"domain_scores_codex":[0.9998666,0.00001037774,0.000007731097,0.00006018548,0.00003016194,0.00002490142],"domain_scores_gemma":[0.9998904,0.00004044988,0.00002049384,0.00001282354,0.00002361685,0.0000122089],"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":[0.0001705937,0.0003492465,0.03566286,0.0002593125,0.00004517933,0.0001421366,0.0002326932,0.4904395,0.399457,0.002959778,0.0007172063,0.06956451],"study_design_scores_gemma":[0.000009526614,0.00006497923,0.003356038,0.000006048905,0.00001066052,0.00001543429,0.00002772896,0.9679385,0.02713001,0.000741385,0.0006790535,0.00002062639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764201,0.0003395238,0.2284679,0.0001346176,0.00004195181,0.0001494021,0.00205167,0.001519819,0.003094044],"genre_scores_gemma":[0.8768846,0.0002093338,0.1206932,0.00004751017,0.00000763563,0.0001684226,0.000785679,0.00005398563,0.001149574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123989,"threshold_uncertainty_score":0.02465343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04895380309847247,"score_gpt":0.2627238305591081,"score_spread":0.2137700274606356,"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."}}