{"id":"W2117358815","doi":"10.1051/limn/2010033","title":"Variation of an indicator of<i>Escherichia coli</i>persistence from surface waters of mixed-use watersheds, and relationship with environmental factors","year":2010,"lang":"en","type":"article","venue":"Annales de Limnologie - International Journal of Limnology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of British Columbia; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Turbidity; Environmental science; Water quality; Settling; Persistence (discontinuity); Fecal coliform; Dilution; Population; Contamination; Pollution; Hydrology (agriculture); Surface water; Water column; Escherichia coli; Environmental chemistry; Animal science; Biology; Ecology; Chemistry; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000423159,0.0001873331,0.0002334268,0.0005146129,0.0003987479,0.0007998114,0.0002123224,0.0002490703,0.0002803304],"category_scores_gemma":[0.001627496,0.0001194499,0.0001746567,0.00101377,0.000377097,0.0002092074,0.000280215,0.000247058,0.00007306292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377337,"about_ca_system_score_gemma":0.0008650305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2227906,"about_ca_topic_score_gemma":0.2531864,"domain_scores_codex":[0.9996213,0.00004354611,0.00002980067,0.00009565497,0.0001531924,0.0000564954],"domain_scores_gemma":[0.9990211,0.0001920347,0.0003036339,0.000051003,0.000340983,0.00009121955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007331021,0.00002135511,0.9882823,0.00001043947,0.0000467778,0.00003870917,0.0001421223,0.0003263374,0.009000076,0.00001421453,0.00004695662,0.001997374],"study_design_scores_gemma":[5.655769e-7,0.0000289354,0.998728,0.00000127128,0.000005885459,0.00003058867,0.0001122085,0.0004207139,0.0005869421,0.000007012236,0.00007566941,0.000002175474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995412,0.00002885065,0.0001477531,0.000006928648,6.436059e-7,0.000003229648,0.0001428642,0.000003531171,0.0001250999],"genre_scores_gemma":[0.9992585,0.00002746566,0.0001842253,0.000007781722,9.021572e-7,0.000003999748,0.0004030302,0.000001629937,0.0001124811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2227906,"threshold_uncertainty_score":0.4429876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383308561936825,"score_gpt":0.2477664957463201,"score_spread":0.2139334101269519,"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."}}