{"id":"W2913225937","doi":"10.1128/jcm.01828-18","title":"Simultaneous Detection and Differentiation between Wild-Type and Vaccine Measles Viruses by a Multiplex Real-Time Reverse Transcription-PCR Assay","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Virology and Viral Diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; University of Calgary; University of Alberta; Provincial Laboratory of Public Health","funders":"","keywords":"Virology; Measles virus; Measles; Biology; Multiplex; Outbreak; Morbillivirus; Paramyxoviridae; Mononegavirales; Reverse transcription polymerase chain reaction; Genotype; Real-time polymerase chain reaction; Virus; Multiplex polymerase chain reaction; Microbiology; Viral disease; Polymerase chain reaction; Gene; Vaccination; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004081532,0.002045994,0.001503312,0.002406998,0.0003991848,0.001472075,0.001363533,0.00146521,0.001659276],"category_scores_gemma":[0.004951166,0.001282043,0.0009843174,0.001164327,0.0009359296,0.001135428,0.0007765723,0.001711955,0.0016093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000592619,"about_ca_system_score_gemma":0.0006797363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003155632,"about_ca_topic_score_gemma":0.0007482151,"domain_scores_codex":[0.992401,0.001986046,0.0006884903,0.002332812,0.002170438,0.0004212624],"domain_scores_gemma":[0.9962705,0.001808161,0.0005962859,0.0003597231,0.0008339291,0.0001312731],"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":[0.000355136,0.0002430417,0.002567691,0.0002115574,0.00004418582,0.00009516407,0.0002206345,0.0006406784,0.9801829,0.0005177769,0.0003214116,0.01459986],"study_design_scores_gemma":[0.00006175513,0.001080687,0.004479267,0.00006498966,0.0001108407,0.0006387059,0.0001291509,0.02633097,0.9600053,0.0006184705,0.006394062,0.00008569658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3226613,0.002995383,0.6598472,0.0003765499,0.0007222698,0.001862337,0.003056286,0.003626777,0.004851924],"genre_scores_gemma":[0.2307059,0.001308146,0.7548528,0.0003985915,0.0001875662,0.002826072,0.003104028,0.0001717577,0.006445112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004081532,"threshold_uncertainty_score":0.02158546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854349366845687,"score_gpt":0.3312427827506738,"score_spread":0.3026992890822169,"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."}}