{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003956879,0.002070657,0.002057373,0.001302845,0.0004253216,0.001453348,0.001713849,0.001056559,0.001023833],"category_scores_gemma":[0.004183257,0.001341188,0.00123467,0.0006365145,0.0007036565,0.0009180711,0.0006403924,0.002227729,0.001285804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007003246,"about_ca_system_score_gemma":0.0007914535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009285618,"about_ca_topic_score_gemma":0.002077893,"domain_scores_codex":[0.9946293,0.0009525565,0.0005443103,0.001297941,0.002245857,0.0003300093],"domain_scores_gemma":[0.9976198,0.0007968822,0.0003289818,0.0002976763,0.0008176377,0.0001390956],"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":[0.0001491803,0.0002004598,0.0009865341,0.0001296185,0.00003342383,0.00009569127,0.00005112517,0.001180743,0.9777649,0.0001819179,0.0001858815,0.01904047],"study_design_scores_gemma":[0.00004791523,0.0008005042,0.003964998,0.00005308849,0.0001567839,0.0005633,0.0000513512,0.02091485,0.9634874,0.0002082574,0.009657719,0.00009388077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2320768,0.003185645,0.7551935,0.0005202854,0.0008564916,0.001901295,0.001744841,0.002793267,0.001727812],"genre_scores_gemma":[0.1397474,0.00112666,0.8515072,0.0002276049,0.0001035379,0.001475775,0.002328356,0.0002298507,0.003253688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003956879,"threshold_uncertainty_score":0.02092624,"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."}}