{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009956198,0.000140256,0.0003059407,0.0001065221,0.00004199424,0.000002805303,0.00005876144,0.0001262804,0.000007721282],"category_scores_gemma":[0.00003034331,0.0001306739,0.00004471745,0.00004450309,0.0002116961,0.00002120445,0.00003884554,0.0001079747,0.00001045333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786607,"about_ca_system_score_gemma":0.00001672433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007353667,"about_ca_topic_score_gemma":0.0000553912,"domain_scores_codex":[0.9990021,0.00002650445,0.0002870067,0.0003259157,0.00003181529,0.0003266299],"domain_scores_gemma":[0.999674,0.00003048817,0.00006050272,0.0001334321,0.000004974546,0.00009660106],"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":[0.001328332,0.0001604775,0.001518568,0.00004173255,0.00001462411,0.000003321943,0.00006948045,0.01395997,0.979108,0.00001706562,0.000004918705,0.003773501],"study_design_scores_gemma":[0.01412668,0.005336358,0.01322954,0.0001004089,0.00005703411,0.0002735242,0.0003809762,0.04389826,0.920325,0.0006087699,0.001226674,0.0004367568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964756,0.00004546214,0.03403482,0.0001672215,0.00002085476,0.0007385408,0.0002114816,0.00001448173,0.00001114377],"genre_scores_gemma":[0.9916574,0.0000655226,0.006696014,0.001047673,0.00001989896,0.0001311772,0.0003566282,0.00001695143,0.0000087166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.058783,"threshold_uncertainty_score":0.5328729,"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."}}