{"id":"W4206559440","doi":"10.1101/2022.01.04.22268771","title":"Detection of fecal coliforms and SARS-CoV-2 RNA in sewage and recreational waters in the Ecuadorian Coast: a call for improving water quality regulation","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"FP7 International Cooperation; Deutsche Gesellschaft für Internationale Zusammenarbeit; Secretaría de Educación Superior, Ciencia, Tecnología e Innovación; Ministerio del Ambiente, Agua y Transición Ecológica","keywords":"Fecal coliform; Sewage; Estuary; Water quality; Wastewater; Environmental science; Salinity; Pollution; Feces; Contamination; Seawater; Water pollution; Sewage treatment; Biology; Veterinary medicine; Environmental engineering; Fishery; Ecology; Medicine","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":[0.0004692768,0.000353569,0.0002535752,0.000647076,0.0002480524,0.001029187,0.0002616861,0.0002215435,0.001203819],"category_scores_gemma":[0.0006845311,0.0001003886,0.0001649673,0.0005876737,0.0003055557,0.0003757512,0.0003014823,0.0001963765,0.0001064168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025832,"about_ca_system_score_gemma":0.0003268372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009427705,"about_ca_topic_score_gemma":0.01091076,"domain_scores_codex":[0.9997535,0.00005784098,0.0000264196,0.00005877504,0.00005858304,0.00004474296],"domain_scores_gemma":[0.999459,0.00007118071,0.0002503977,0.00002567956,0.0001580278,0.00003570075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001744219,0.0000813259,0.9214502,0.0002173807,0.00006380495,0.0009276538,0.0007039828,0.0002704188,0.04363571,0.00006246972,0.0003435648,0.03206908],"study_design_scores_gemma":[0.000004084971,0.0001124216,0.9900492,0.00004638302,0.00002512981,0.000233809,0.002418644,0.0003192067,0.004793997,0.00004496162,0.001945171,0.000006889225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978058,0.0007842311,0.0003062813,0.0001898601,0.000007484298,0.000008908309,0.0001981663,0.000008677485,0.0006906181],"genre_scores_gemma":[0.9977353,0.00044724,0.0007251201,0.00007377985,0.0000104664,0.00001568319,0.0002763555,0.000003425199,0.000712683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009427705,"threshold_uncertainty_score":0.01874566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05673409795018573,"score_gpt":0.3277141621637458,"score_spread":0.2709800642135601,"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."}}