{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963084,0.0002525041,0.0001319366,0.0003988173,0.0001768768,0.0003306287,0.00008563208,0.0003269163,0.000741164],"category_scores_gemma":[0.001128163,0.0002111031,0.0001439368,0.0003263219,0.0003308308,0.0001985543,0.0002069617,0.0002211664,0.0001410519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671217,"about_ca_system_score_gemma":0.0002208019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003797882,"about_ca_topic_score_gemma":0.004158467,"domain_scores_codex":[0.9996272,0.0001039705,0.00003183409,0.0001046925,0.00005910255,0.00007313512],"domain_scores_gemma":[0.9991415,0.0001881587,0.0003627824,0.00004797079,0.000148431,0.0001111273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002076462,0.00009292147,0.8479192,0.00005005137,0.00002628731,0.0001925284,0.0002954506,0.00008513473,0.1457747,0.00004674524,0.00007007408,0.00523924],"study_design_scores_gemma":[0.000008208124,0.001363333,0.9487733,0.00001980953,0.00004859335,0.001461207,0.0007505192,0.0004206555,0.04623856,0.00005663752,0.0008471546,0.00001196594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988759,0.0001222836,0.0005923733,0.00001545304,0.00000202284,0.000008313757,0.00009398023,0.000004487841,0.0002851647],"genre_scores_gemma":[0.9985441,0.00008337045,0.0009017158,0.00002079389,0.000001801417,0.00000626041,0.0001549865,0.00000142187,0.0002855995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003797882,"threshold_uncertainty_score":0.007551551,"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."}}