{"id":"W2171662176","doi":"10.1128/aem.00436-09","title":"Improved Detection of F-Specific RNA Coliphages in Fecal Material by Extraction and Polyethylene Glycol Precipitation","year":2009,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Coliphage; RNA; Feces; Biology; Fecal coliform; Polyethylene glycol; Bacteriophage; Microbiology; Food science; Chromatography; Escherichia coli; Chemistry; Ecology; Biochemistry","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":[0.0008700142,0.001874666,0.0007180274,0.0008958,0.0001438038,0.0004073478,0.0003947061,0.0006581765,0.0007179012],"category_scores_gemma":[0.001139812,0.0004237466,0.0004051464,0.0005868638,0.0003895648,0.0005600082,0.0003732921,0.0008741432,0.0006808677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837907,"about_ca_system_score_gemma":0.0002022627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005791569,"about_ca_topic_score_gemma":0.0006770997,"domain_scores_codex":[0.9989717,0.0003254673,0.0001046945,0.0002630271,0.0002173667,0.0001178681],"domain_scores_gemma":[0.9994028,0.000233173,0.0001306067,0.00007582699,0.0001228086,0.00003481038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000329222,0.00001538586,0.0002763536,0.00003520139,0.000002935888,0.00001293618,0.000007828932,0.00002844772,0.9974172,0.000007256505,0.000007415726,0.002156152],"study_design_scores_gemma":[0.000009729347,0.0003658812,0.006591709,0.00001192576,0.00001746937,0.0002001889,0.00001538148,0.001011802,0.9909202,0.00002840791,0.0008174537,0.000009994917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8234516,0.002922675,0.1699357,0.0001682048,0.00009071556,0.0004321632,0.00068752,0.0006295605,0.001681885],"genre_scores_gemma":[0.730809,0.002651086,0.2588884,0.0002564871,0.00006744344,0.0003149864,0.003068878,0.0001710954,0.003772685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001874666,"threshold_uncertainty_score":0.004601181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005034781682624427,"score_gpt":0.2284958284403326,"score_spread":0.2234610467577082,"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."}}