{"id":"W2147688509","doi":"10.1128/aem.70.11.6603-6610.2004","title":"Multiplex Nucleic Acid Sequence-Based Amplification for Simultaneous Detection of Several Enteric Viruses in Model Ready-To-Eat Foods","year":2004,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Research Service; U.S. Department of Agriculture","keywords":"NASBA; Amplicon; Biology; Multiplex; Virology; Norwalk virus; Nucleic acid; Virus; Multiplex polymerase chain reaction; Food microbiology; Reverse transcriptase; Reverse transcription polymerase chain reaction; Primer (cosmetics); Polymerase chain reaction; Microbiology; Molecular biology; RNA; Norovirus; Bacteria; Gene; Chemistry; Genetics; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009556828,0.0009975543,0.0005513955,0.0006501687,0.0001979989,0.0004992449,0.0005244559,0.0006266249,0.0005847101],"category_scores_gemma":[0.0007670413,0.0004548767,0.0004198544,0.000313927,0.0003678304,0.0005149009,0.0003745714,0.0006774947,0.0003234759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626347,"about_ca_system_score_gemma":0.0003108134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125604,"about_ca_topic_score_gemma":0.0007283297,"domain_scores_codex":[0.9991822,0.0002015404,0.00004650413,0.0002943719,0.0002149563,0.00006043942],"domain_scores_gemma":[0.9996556,0.0001243988,0.00008175337,0.00003243797,0.0000669621,0.00003881217],"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":[0.00004746346,0.00002775231,0.0001857254,0.00004283299,0.000005928337,0.00001448582,0.00001842668,0.0002306526,0.9964033,0.00008574881,0.00001937822,0.002918147],"study_design_scores_gemma":[0.00001650981,0.0004290428,0.001218618,0.00001433547,0.00003714542,0.0001807824,0.00002334464,0.007417385,0.9884884,0.0001517113,0.002007341,0.00001534599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4911976,0.004636582,0.4999807,0.0001024719,0.0002030292,0.000679888,0.0006127401,0.0009756875,0.001611399],"genre_scores_gemma":[0.4928296,0.002692658,0.4993737,0.0001200109,0.00006736361,0.0008699282,0.001021126,0.00006197085,0.002963572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009975543,"threshold_uncertainty_score":0.005054235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406803712556489,"score_gpt":0.2825154716496061,"score_spread":0.2484474345240412,"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."}}