{"id":"W2002225618","doi":"10.2134/jeq2002.1286","title":"Potential of <i>Enterococcus faecalis</i> as a Human Fecal Indicator for Microbial Source Tracking","year":2002,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enterococcus faecalis; Enterococcus; Fecal coliform; Source tracking; Feces; Microbiology; Indicator bacteria; Environmental science; Tracking (education); Biology; Bacteria; Ecology; Antibiotics; Computer science; Water quality; Staphylococcus aureus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002338156,0.0004946634,0.0003951521,0.00099338,0.0002135544,0.001274307,0.0003710832,0.0005640889,0.0004222397],"category_scores_gemma":[0.001754155,0.0001906953,0.0002348329,0.000766192,0.0003513322,0.0004418898,0.0005133969,0.0002961064,0.0002863281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680513,"about_ca_system_score_gemma":0.0005212528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002348134,"about_ca_topic_score_gemma":0.003665444,"domain_scores_codex":[0.9985688,0.0006662596,0.0001029913,0.000184497,0.0003576436,0.0001199057],"domain_scores_gemma":[0.9983795,0.0006337811,0.0004287222,0.00009617723,0.000345736,0.0001161855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001385367,0.000377614,0.5632398,0.0005591974,0.00007746518,0.0007294839,0.0002781738,0.002253067,0.3094715,0.0006486661,0.0009424086,0.1200372],"study_design_scores_gemma":[0.00004347841,0.004117545,0.206654,0.0004347329,0.0003635223,0.004709609,0.001154304,0.02028988,0.7413469,0.0008499728,0.01994888,0.00008717656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616352,0.003741953,0.02664586,0.0007393619,0.00006939143,0.0001569701,0.0007888607,0.0002258531,0.005996544],"genre_scores_gemma":[0.964901,0.001549106,0.03183849,0.000157974,0.00002060659,0.00003122008,0.0006808785,0.00001595921,0.0008048762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002348134,"threshold_uncertainty_score":0.01236552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757281824494151,"score_gpt":0.2879705606901896,"score_spread":0.2703977424452481,"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."}}