{"id":"W2155944848","doi":"10.1177/104063870601800201","title":"Detection and Serotype-Specific Differentiation of Vesicular Stomatitis Virus Using a Multiplex, Real-Time, Reverse Transcription-Polymerase Chain Reaction Assay","year":2006,"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":"Virology; Vesicular stomatitis virus; Biology; Vesicular Stomatitis; Virus; Multiplex; Polymerase chain reaction; Reverse transcription polymerase chain reaction; Serotype; Foot-and-mouth disease virus; Reverse transcriptase; Real-time polymerase chain reaction; Molecular biology; Gene; Messenger RNA; Genetics","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":[0.002027617,0.001144423,0.00103511,0.001349857,0.0002685346,0.0009435712,0.0006739679,0.0006008613,0.0008089662],"category_scores_gemma":[0.001558,0.00069704,0.0004765861,0.0006863984,0.0004782699,0.0006077755,0.0003979518,0.0007508107,0.0005241705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000488662,"about_ca_system_score_gemma":0.0004110501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004485931,"about_ca_topic_score_gemma":0.001065519,"domain_scores_codex":[0.9973052,0.0004738186,0.0002850094,0.001050635,0.0006780335,0.0002073826],"domain_scores_gemma":[0.9986817,0.0004891282,0.0003599114,0.0001197929,0.0002876596,0.00006182649],"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":[0.0001766202,0.00008706648,0.004892829,0.0001115703,0.00001847991,0.00005331116,0.0001340575,0.0003312627,0.9857538,0.0001390467,0.0000685584,0.008233484],"study_design_scores_gemma":[0.00004578053,0.0009940508,0.01594288,0.00003669704,0.0001032954,0.0006253805,0.0001262749,0.02121032,0.9564642,0.0002321542,0.004160655,0.00005833163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6415632,0.001812847,0.3489268,0.0001012428,0.0002184307,0.001123021,0.002294475,0.001467149,0.002492784],"genre_scores_gemma":[0.4240523,0.001118285,0.5675833,0.0001514478,0.00007320156,0.001670531,0.002046747,0.00007957852,0.003224617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002027617,"threshold_uncertainty_score":0.01072317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267691023726228,"score_gpt":0.2314056387162687,"score_spread":0.1987287284790065,"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."}}