{"id":"W2550267049","doi":"10.1128/aem.02763-16","title":"Waterborne Viruses and F-Specific Coliphages in Mixed-Use Watersheds: Microbial Associations, Host Specificities, and Affinities with Environmental/Land Use Factors","year":2016,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Coliphage; Norovirus; Biology; Astrovirus; Virology; Rotavirus; Virus; RNA; DNA; Microbiology; Bacteriophage; Genetics; Gene; Escherichia coli","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002050008,0.0001982698,0.0002025915,0.0008131365,0.0005285026,0.0008416329,0.0002304201,0.000228109,0.0007743129],"category_scores_gemma":[0.0006333291,0.0001506085,0.0001448911,0.001524953,0.0005626201,0.0003776876,0.0004823327,0.0001842137,0.00007751334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513262,"about_ca_system_score_gemma":0.0009633527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3360348,"about_ca_topic_score_gemma":0.5744687,"domain_scores_codex":[0.9997795,0.000025194,0.00001610467,0.00005995813,0.00005238022,0.00006689215],"domain_scores_gemma":[0.9995533,0.00004866956,0.0001698268,0.00001647603,0.0001260105,0.00008573668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003234287,0.000007939875,0.9978987,0.000005153579,0.00001304007,0.00002216052,0.0002235316,0.00001801935,0.001038088,0.000007097824,0.0000172385,0.0007166318],"study_design_scores_gemma":[5.350691e-7,0.00001003872,0.9993198,0.000001838123,0.000003137936,0.00001345175,0.0004703336,0.00005588413,0.00007002363,0.000004429768,0.00004952646,9.429901e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995708,0.00006375375,0.00003092559,0.00000662722,4.210656e-7,0.000004299848,0.000172505,7.20318e-7,0.0001499059],"genre_scores_gemma":[0.999589,0.00005294978,0.00005836057,0.000005402809,0.000001037078,0.000003564686,0.0001538204,6.090391e-7,0.0001351451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3360348,"threshold_uncertainty_score":0.6681577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810443480283057,"score_gpt":0.1790105035968413,"score_spread":0.1609060687940107,"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."}}