{"id":"W4410590114","doi":"10.1021/acsestwater.5c00097","title":"Microbial Screening of Urban Stormwater and Constructed Wetlands Using Passive Sampling and TaqMan Array Cards","year":2025,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agricultural Institute of Canada","funders":"Department of Health and Human Services, State Government of Victoria","keywords":"Stormwater; Environmental science; TaqMan; Sampling (signal processing); Wetland; Geography; Ecology; Biology; Computer science; Surface runoff; Polymerase chain reaction","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":[0.0008293664,0.0005569447,0.0003706406,0.0004966974,0.0001898347,0.0007157404,0.0004470786,0.0003761162,0.0003691632],"category_scores_gemma":[0.001124079,0.0002665518,0.0003317397,0.0004773649,0.000326612,0.0003333671,0.0004496629,0.0002413154,0.0002224189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526297,"about_ca_system_score_gemma":0.0004358272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00226139,"about_ca_topic_score_gemma":0.006348997,"domain_scores_codex":[0.9983038,0.000362718,0.0000904772,0.0003226263,0.0007938714,0.0001264909],"domain_scores_gemma":[0.9993792,0.0001484905,0.000211972,0.00003531863,0.0001831008,0.00004190769],"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":[0.0003515763,0.0002039541,0.04029521,0.0001915067,0.00004409728,0.00004605569,0.0002053999,0.0009545073,0.9404919,0.0000921065,0.00009491562,0.01702886],"study_design_scores_gemma":[0.00002958857,0.003808605,0.1388415,0.00005084012,0.0001378511,0.0002598063,0.0005896399,0.01243898,0.8398989,0.0001175201,0.003761684,0.00006497957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977617,0.0002603095,0.02039963,0.00004945059,0.00001709166,0.0001543924,0.0005672529,0.00009645039,0.0008384331],"genre_scores_gemma":[0.9544965,0.0006720657,0.04011568,0.0001085238,0.00001847692,0.000269251,0.001192641,0.0000197831,0.00310714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226139,"threshold_uncertainty_score":0.004496455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312761960230257,"score_gpt":0.2550669650693499,"score_spread":0.2319393454670473,"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."}}