{"id":"W3200919080","doi":"10.3390/ncrna7030059","title":"A New Specific and Sensitive RT-qPCR Method Based on Splinted 5′ Ligation for the Quantitative Detection of RNA Species Shorter than microRNAs","year":2021,"lang":"en","type":"article","venue":"Non-Coding RNA","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"RNA; Adapter (computing); Biology; Computational biology; microRNA; Ligation; Ribosomal RNA; Reverse transcriptase; Molecular biology; Small RNA; Reverse transcription polymerase chain reaction; Messenger RNA; Genetics; Gene; Computer science","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":[0.002643685,0.002725965,0.001511256,0.001886293,0.0005595157,0.0009478105,0.001367798,0.001067442,0.002248261],"category_scores_gemma":[0.002084578,0.001596047,0.00149237,0.0007272561,0.001220786,0.001181841,0.001118151,0.0037466,0.001898549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007456601,"about_ca_system_score_gemma":0.001129902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003055825,"about_ca_topic_score_gemma":0.001155316,"domain_scores_codex":[0.9957352,0.0008767897,0.0003121637,0.001734564,0.00111428,0.0002270595],"domain_scores_gemma":[0.9985049,0.0005544667,0.0003378863,0.0001764979,0.000319791,0.0001064505],"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":[0.00005198944,0.00003720854,0.0002553837,0.0001890159,0.00001896903,0.00003895292,0.00005132111,0.0001905763,0.989903,0.0004639214,0.0002156154,0.008584011],"study_design_scores_gemma":[0.00002241741,0.0002512526,0.0008511772,0.00002454184,0.0000625697,0.000351,0.00002231179,0.006302579,0.9826546,0.0003288536,0.009076873,0.0000519123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03380319,0.001155713,0.9594986,0.0001972796,0.000240725,0.0006186044,0.0007797295,0.002332407,0.001373596],"genre_scores_gemma":[0.06376363,0.001034992,0.9259188,0.0004037317,0.000106392,0.001571398,0.002318221,0.0003814164,0.004501342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002725965,"threshold_uncertainty_score":0.01398134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045033511421652,"score_gpt":0.298862702049251,"score_spread":0.2684123669350345,"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."}}