{"id":"W2017277041","doi":"10.1021/es0620989","title":"Detection of <i>Bacteroidales</i> Fecal Indicators and the Zoonotic Pathogens <i>E. coli</i> O157:H7, <i>Salmonella</i>, and <i>Campylobacter</i> in River Water","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"National Oceanic and Atmospheric Administration; Public Health Agency of Canada; Oregon Sea Grant, Oregon State University; Canadian Food Inspection Agency; Oregon State University","keywords":"Salmonella; Campylobacter; Indicator bacteria; Feces; Biology; Microbiology; Veterinary medicine; Fecal coliform; Enterococcus; Bacteria; Ecology; Medicine; Water quality; Genetics; Antibiotics","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001675617,0.0002139256,0.0003427573,0.000163094,0.0003072308,0.0000207928,0.0004243444,0.0002540859,0.00002789125],"category_scores_gemma":[0.00004648083,0.00008097149,0.00005382961,0.0008004577,0.006086451,0.0001632015,0.0004466916,0.0002891819,0.00001256182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008102808,"about_ca_system_score_gemma":0.000004858799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181456,"about_ca_topic_score_gemma":0.0001995779,"domain_scores_codex":[0.997972,0.00010024,0.0004425509,0.0005871333,0.0002337178,0.0006644208],"domain_scores_gemma":[0.9993563,0.0002256745,0.0001462632,0.000140604,0.000007165987,0.0001240191],"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":[0.00007009121,0.00005133035,0.1852693,0.000001992816,0.000003422126,0.000005896747,0.000167049,8.498765e-7,0.7736802,0.000117351,0.000001243219,0.04063137],"study_design_scores_gemma":[0.0005672514,0.0002135878,0.6963792,0.000008194463,0.00001514206,0.00009735912,0.0007046025,0.00001654856,0.2987862,0.001170605,0.001859117,0.0001821679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980717,0.0003976457,0.00002027468,0.0008645153,0.0001007624,0.0003362849,0.00001207075,0.00004124339,0.000155547],"genre_scores_gemma":[0.9990625,0.0003850671,0.00004235999,0.0004332797,0.00003444415,0.00001628456,0.000005831696,0.000002161442,0.00001805378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5111099,"threshold_uncertainty_score":0.9966184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004095113304945298,"score_gpt":0.1787250210092384,"score_spread":0.1746299077042931,"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."}}