{"id":"W2109133231","doi":"10.1177/104063871002200309","title":"Single-Step Multiplex Conventional and Real-Time Reverse Transcription Polymerase Chain Reaction Assays for Simultaneous Detection and Subtype Differentiation of <i>Influenza A Virus</i> in Swine","year":2010,"lang":"en","type":"article","venue":"Journal of Veterinary Diagnostic Investigation","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Hyacinthe; Canadian Food Inspection Agency","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Reverse transcription polymerase chain reaction; Multiplex; Reverse transcriptase; Virology; Real-time polymerase chain reaction; Polymerase chain reaction; Multiplex polymerase chain reaction; Biology; Virus; Influenza A virus; Molecular biology; Gene; Genetics; Gene expression","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":[0.001805704,0.001176117,0.0009208653,0.0005777932,0.0001645086,0.0008253515,0.0009568612,0.0009761713,0.0007481421],"category_scores_gemma":[0.001314699,0.0006542772,0.0006737955,0.0003901231,0.0005389389,0.0006624382,0.0003850545,0.0009099676,0.000515306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548558,"about_ca_system_score_gemma":0.0003338964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001996983,"about_ca_topic_score_gemma":0.0004948442,"domain_scores_codex":[0.9971185,0.0005396841,0.0002596827,0.001159508,0.0007301285,0.000192507],"domain_scores_gemma":[0.9986321,0.0004603548,0.0003804273,0.0001649631,0.0002904089,0.00007171479],"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":[0.0001714094,0.00006059401,0.0009871646,0.0001037387,0.00001478907,0.00002480435,0.000037326,0.0002175429,0.9917266,0.00007652483,0.00007164833,0.006507825],"study_design_scores_gemma":[0.00003495657,0.0007206387,0.003393951,0.00001494745,0.00005607255,0.0003251238,0.00003694489,0.01020153,0.9836631,0.0001097097,0.001409785,0.00003331821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852348,0.004594914,0.4039703,0.0001582812,0.0003336223,0.001163328,0.001282274,0.001549213,0.001713258],"genre_scores_gemma":[0.4434908,0.00181711,0.5471082,0.0003159837,0.0001665718,0.002149198,0.001603177,0.0000829716,0.003266013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001805704,"threshold_uncertainty_score":0.009549618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05092327387150399,"score_gpt":0.3163199721456334,"score_spread":0.2653966982741294,"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."}}