{"id":"W2091137003","doi":"10.1016/j.jviromet.2014.05.012","title":"Comparison of ZetaPlus 60S and nitrocellulose membrane filters for the simultaneous concentration of F-RNA coliphages, porcine teschovirus and porcine adenovirus from river water","year":2014,"lang":"en","type":"article","venue":"Journal of Virological Methods","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Nitrocellulose; Biology; Fecal coliform; Contamination; Water quality; Microbiology; Veterinary medicine; Membrane; Ecology","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":[0.002105767,0.0006832191,0.0005223354,0.00112399,0.000547202,0.00103666,0.0009747916,0.0009784213,0.00152204],"category_scores_gemma":[0.001993226,0.0005751591,0.0006098996,0.0005975973,0.0003533323,0.000954327,0.000383442,0.0006537607,0.0006846289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007456238,"about_ca_system_score_gemma":0.0005708517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835661,"about_ca_topic_score_gemma":0.003550368,"domain_scores_codex":[0.9988361,0.0002347434,0.0001031551,0.0002402865,0.000448952,0.0001369209],"domain_scores_gemma":[0.9977951,0.001136271,0.0001780866,0.0001295478,0.0006597491,0.0001012743],"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":[0.0004630314,0.00005131697,0.0006501396,0.0001253497,0.00002786312,0.00001894929,0.0001123543,0.00009380227,0.9939342,0.0001609336,0.00008053684,0.004281481],"study_design_scores_gemma":[0.00002077733,0.0003867515,0.007340958,0.00002002696,0.00007522099,0.0001635883,0.0001222393,0.002582252,0.9874629,0.00009901522,0.001709722,0.00001649931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916429,0.004104751,0.07364555,0.0004435903,0.0002696119,0.0001139328,0.0006317921,0.0005510673,0.003810646],"genre_scores_gemma":[0.8828145,0.005578486,0.09758342,0.0003247542,0.0001022908,0.0002785936,0.002676184,0.0002605055,0.01038124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002835661,"threshold_uncertainty_score":0.01113653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06296859761837928,"score_gpt":0.4169168946155586,"score_spread":0.3539482969971793,"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."}}