{"id":"W1972815236","doi":"10.1177/104063871002200315","title":"Improvement and Optimization of a Multiplex Real-Time Reverse Transcription Polymerase Chain Reaction Assay for the Detection and Typing of Vesicular Stomatitis Virus","year":2010,"lang":"en","type":"article","venue":"Journal of Veterinary Diagnostic Investigation","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health","funders":"","keywords":"Vesicular stomatitis virus; Vesicular Stomatitis; Virology; Vesicular stomatitis Indiana virus; Polymerase chain reaction; Biology; Multiplex; Reverse transcription polymerase chain reaction; Virus; Stomatitis; Real-time polymerase chain reaction; Reverse transcriptase; Rhabdoviridae; Typing; Multiplex polymerase chain reaction; Microbiology; Gene; Genetics; Medicine; Messenger RNA","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007164712,0.00007139726,0.0001424536,0.00002994742,0.00009669746,0.00001107156,0.0000446948,0.00005906298,0.00001228516],"category_scores_gemma":[0.0008188062,0.00003348662,0.00005082015,0.00007683627,0.00009397289,0.0002022166,0.00001340811,0.00006487656,1.387556e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001070021,"about_ca_system_score_gemma":0.000005630957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167387,"about_ca_topic_score_gemma":0.00004958998,"domain_scores_codex":[0.9993179,0.0001001032,0.0003402961,0.00008823963,0.00008010279,0.00007333236],"domain_scores_gemma":[0.9984623,0.0008999445,0.0004642719,0.00002798913,0.00009947039,0.000046076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001399204,0.00002646858,0.0006763834,0.00004134613,0.00002027536,8.202093e-7,0.00008297487,0.0001876789,0.9687798,0.00004567854,0.00002062992,0.02997801],"study_design_scores_gemma":[0.001052161,0.006035522,0.8225588,0.0002670946,0.0003920491,0.00006631325,0.000569926,0.1052639,0.06225362,0.0009679364,0.0003547303,0.0002179829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969532,0.0001029441,0.001885282,0.000614268,0.0001279103,0.0002928205,0.00001393179,0.000005611876,0.000004070673],"genre_scores_gemma":[0.9979481,0.0006159527,0.001238956,0.0000581825,0.0001063214,0.00001264713,0.00001453793,0.000001248923,0.000004114961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9065262,"threshold_uncertainty_score":0.1365545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384321653691466,"score_gpt":0.2375588525277341,"score_spread":0.2137156359908195,"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."}}