{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001156342,0.0001334769,0.0001427595,0.00003775282,0.00006997364,0.00002128205,0.00002682721,0.0001156036,0.000001556253],"category_scores_gemma":[0.00001016414,0.0001085784,0.00004559384,0.0001033407,0.00005897322,0.000005299368,0.00004677808,0.00007424407,0.000002434192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955057,"about_ca_system_score_gemma":0.00001454962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008400372,"about_ca_topic_score_gemma":0.0001289049,"domain_scores_codex":[0.9992794,0.00005238336,0.00009955458,0.0003218252,0.00008979816,0.0001569916],"domain_scores_gemma":[0.9995577,0.000007202033,0.00007413919,0.0002492744,0.00006619895,0.00004552937],"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":[0.00008107277,0.00001543588,0.0009470682,0.000008007752,0.00003767259,0.000007912169,0.000003848605,0.00001764984,0.9937236,0.000006082601,0.000005468192,0.005146173],"study_design_scores_gemma":[0.0001671923,0.0001625806,0.003490827,0.00001551574,0.00003685228,0.0001181739,0.00002379279,0.0005595822,0.9948367,0.00002316467,0.0003928774,0.0001726815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937627,0.00007714333,0.005807365,0.00001987108,0.00003729012,0.0001193927,0.000006021344,0.00003988098,0.0001303166],"genre_scores_gemma":[0.995259,0.00005140018,0.004320442,0.00006761972,0.0001113446,8.746391e-7,0.00001892511,0.0000164822,0.0001538603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004973492,"threshold_uncertainty_score":0.4427697,"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."}}