{"id":"W3197021219","doi":"10.1021/acs.analchem.1c03456","title":"Integrating Reverse Transcription Recombinase Polymerase Amplification with CRISPR Technology for the One-Tube Assay of RNA","year":2021,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Provincial Laboratory of Public Health; University of Alberta Hospital; University of Alberta","funders":"Li Ka Shing Institute of Virology, University of Alberta; China Scholarship Council; Canadian Institutes of Health Research; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Recombinase Polymerase Amplification; Trans-activating crRNA; RNA; Molecular biology; Chemistry; Reverse transcriptase; Complementary DNA; CRISPR; Amplicon; Nucleic acid; DNA; RNase P; Cas9; Loop-mediated isothermal amplification; Biology; Gene; Polymerase chain reaction; Biochemistry","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":[0.0001368636,0.0001130621,0.000136572,0.00001507085,0.0000546878,0.00001232319,0.0001269634,0.0001528319,0.0000351013],"category_scores_gemma":[0.0002577192,0.00009028742,0.00009145181,0.0001677065,0.00008968498,0.0000025133,0.0000247973,0.0001210422,6.343565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001175952,"about_ca_system_score_gemma":0.00006876195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007900095,"about_ca_topic_score_gemma":0.000009465177,"domain_scores_codex":[0.9992737,0.00001126897,0.0002025359,0.0002626253,0.00008846085,0.000161362],"domain_scores_gemma":[0.9993074,0.00004132853,0.00005162767,0.000377352,0.000174974,0.00004734523],"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":[0.00004871011,0.0000653833,0.0001470504,0.00008227611,0.00008631629,0.000001276707,0.00001573405,0.0001084822,0.9963278,0.000254771,0.0003096574,0.002552497],"study_design_scores_gemma":[0.0003811616,0.00006146615,0.00006887185,0.00003418195,0.0001165075,0.00001741195,0.0004614446,0.001804594,0.9939514,0.00009164098,0.002894476,0.000116858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6302065,0.001735138,0.3636253,0.002823824,0.00005970289,0.0002074826,0.00003800048,0.00002691804,0.001277073],"genre_scores_gemma":[0.9962744,0.00009916223,0.002587615,0.00007279907,0.0000790859,0.00003112521,0.0001135627,0.00001588563,0.000726387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3660679,"threshold_uncertainty_score":0.3681814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202129657903517,"score_gpt":0.2872562592167393,"score_spread":0.2752349626377041,"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."}}