{"id":"W2976595780","doi":"10.1261/rna.072629.119","title":"RNA detection with high specificity and sensitivity using nested fluorogenic Mango NASBA","year":2019,"lang":"en","type":"article","venue":"RNA","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"NASBA; RNA; Biology; Nucleic acid; Loop-mediated isothermal amplification; Computational biology; CRISPR; Rolling circle replication; Oligonucleotide; Genetics; DNA; Gene; Polymerase","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":[0.001229589,0.0009372114,0.0004746006,0.0004546183,0.0002616836,0.0004343532,0.0006093351,0.0007203986,0.0008081479],"category_scores_gemma":[0.001147491,0.0005388508,0.00045326,0.0002097293,0.0007285404,0.0004356883,0.0005242907,0.000990624,0.000880168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222023,"about_ca_system_score_gemma":0.0004102359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007133622,"about_ca_topic_score_gemma":0.001810917,"domain_scores_codex":[0.9989206,0.0002279936,0.00005865119,0.000340274,0.00031607,0.0001364523],"domain_scores_gemma":[0.9991692,0.0003596544,0.0001528716,0.00007883962,0.000178485,0.00006111078],"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":[0.00000781069,0.000006162822,0.00007438034,0.00003915701,0.00000260309,0.00002033116,0.00001861228,0.00006371317,0.9986545,0.0001071118,0.00002109667,0.0009844697],"study_design_scores_gemma":[0.000002888541,0.00007162253,0.0003595997,0.000008732719,0.000006999586,0.0001577448,0.00001211193,0.001566502,0.9958715,0.0001024442,0.00183151,0.000008332747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3097818,0.004851427,0.6768364,0.0003741184,0.0002183438,0.0003978072,0.0002248639,0.002272024,0.005043226],"genre_scores_gemma":[0.5889841,0.002897653,0.4014252,0.0003942703,0.00007931884,0.0003754739,0.0004213554,0.0001459924,0.005276524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229589,"threshold_uncertainty_score":0.006502748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007248776616373789,"score_gpt":0.2291911708537373,"score_spread":0.2219423942373635,"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."}}