{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000453562,0.000321485,0.0003617885,0.00002826126,0.0004895919,0.0003100175,0.0001401629,0.0001836371,0.0001490052],"category_scores_gemma":[0.00001009383,0.0001818556,0.0001164073,0.0001021504,0.0001241648,0.0004422573,0.0004549217,0.0001448658,0.00003339797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003291854,"about_ca_system_score_gemma":0.00001281387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663832,"about_ca_topic_score_gemma":0.0003047016,"domain_scores_codex":[0.9981354,0.0001151031,0.0004115721,0.0005988012,0.0002341885,0.0005048755],"domain_scores_gemma":[0.9993796,0.0000566277,0.00004671074,0.0002933943,0.00002743644,0.0001962485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004595858,0.0000779685,0.2555142,0.0001420952,0.000169789,0.00001329454,0.01629114,0.008534845,0.7118567,0.0001270614,0.001294741,0.005932171],"study_design_scores_gemma":[0.004098226,0.0005724212,0.5305858,0.0003076261,0.0003196423,0.0001684558,0.00422819,0.03365074,0.3832079,0.001707523,0.03890002,0.002253416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959338,0.00002700676,0.002799157,0.0002425013,0.0002973714,0.0004707374,0.00001665779,0.0000462472,0.0001664623],"genre_scores_gemma":[0.9960868,0.00001377729,0.002409064,0.0005354473,0.00004002921,0.0000144425,0.00002262565,0.00001720291,0.0008605766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286488,"threshold_uncertainty_score":0.7415857,"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."}}