{"id":"W4407136797","doi":"10.2166/aqua.2025.263","title":"Improving groundwater treatment decisions using <i>Giardia</i> and total aerobic spores to assess surface water influence","year":2025,"lang":"en","type":"article","venue":"AQUA - Water Infrastructure Ecosystems and Society","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hyperion Technologies (Canada)","funders":"U.S. Environmental Protection Agency","keywords":"Surface water; Environmental science; Groundwater; Giardia; Hydrology (agriculture); Environmental engineering; Biology; Geology; Microbiology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001242276,0.000412578,0.0005736877,0.00137368,0.0003056882,0.001531629,0.0005363988,0.0004596789,0.001290075],"category_scores_gemma":[0.003702851,0.0001861349,0.0004634015,0.001186738,0.0002582956,0.0004817776,0.0004810127,0.000387856,0.0002787338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00255008,"about_ca_system_score_gemma":0.003463818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1949338,"about_ca_topic_score_gemma":0.2782359,"domain_scores_codex":[0.9991781,0.0002336329,0.00006299729,0.0001631453,0.0002256005,0.0001364683],"domain_scores_gemma":[0.9983312,0.0004958169,0.0004687711,0.00005184165,0.0005432972,0.0001091001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003714576,0.0002589357,0.8248551,0.0003927889,0.0003498758,0.0001279594,0.0001996815,0.02973591,0.008809281,0.0005991598,0.004257079,0.1300427],"study_design_scores_gemma":[0.00007802372,0.0006138311,0.7494358,0.0001923902,0.0004147406,0.00007102406,0.001291052,0.2227004,0.01423045,0.002062355,0.008812742,0.00009722885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716238,0.001138438,0.01322133,0.00100006,0.00002478903,0.0001883877,0.003939741,0.0003066411,0.008556756],"genre_scores_gemma":[0.990639,0.0002617616,0.00762479,0.0000946158,0.000005184066,0.00001593893,0.000875112,0.000009613304,0.0004740441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1949338,"threshold_uncertainty_score":0.3875983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356765793810209,"score_gpt":0.2488225332611971,"score_spread":0.235254875323095,"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."}}