{"id":"W4245465157","doi":"10.26434/chemrxiv.12195177","title":"Reverse Transcription Lesion-Induced DNA Amplification: An Instrument-Free Isothermal Method to Detect RNA","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Grand Challenges Canada; Technische Universität München; Alfred P. Sloan Foundation","keywords":"RNA; Loop-mediated isothermal amplification; Amplicon; DNA; Reverse transcriptase; Molecular biology; Transcription (linguistics); Chemistry; Computational biology; Biology; Polymerase chain reaction; Biochemistry; Gene","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":[0.0005968061,0.000741455,0.0003972691,0.0004277271,0.0002559999,0.0005650247,0.0009401364,0.0008994666,0.002190351],"category_scores_gemma":[0.000712035,0.0004399996,0.0004021812,0.0002119031,0.0005152934,0.0005007543,0.0004896419,0.001656204,0.00276635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396504,"about_ca_system_score_gemma":0.0003702621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002337303,"about_ca_topic_score_gemma":0.0004899512,"domain_scores_codex":[0.9992009,0.00008819058,0.00003317388,0.0002791504,0.0003417691,0.0000567899],"domain_scores_gemma":[0.9995882,0.000125853,0.00008331314,0.00009521894,0.00007176524,0.00003573821],"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":[0.00001280132,0.00001363091,0.00005274024,0.00005945776,0.000004059002,0.00003132842,0.00002329785,0.00007018475,0.9932578,0.0003027241,0.0002172611,0.005954776],"study_design_scores_gemma":[0.000003997451,0.0000312995,0.0001244912,0.000003705072,0.00000401201,0.0001292915,0.00000393234,0.001313792,0.99463,0.00007714065,0.003669617,0.000008692918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1380865,0.002883274,0.8410817,0.0008875509,0.0004213575,0.000391572,0.0008543308,0.0066902,0.008703521],"genre_scores_gemma":[0.5117236,0.001996236,0.4585314,0.0007951057,0.0001612252,0.0005586291,0.001526532,0.0007948471,0.02391239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002190351,"threshold_uncertainty_score":0.007327437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05315749082462268,"score_gpt":0.3274824531511806,"score_spread":0.274324962326558,"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."}}