{"id":"W4408684718","doi":"10.1039/d5sc00834d","title":"Ligase-catalyzed transcription and reverse-transcription of XNA-containing nucleic acid polymers using T3 DNA ligase","year":2025,"lang":"en","type":"article","venue":"Chemical Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; York University","keywords":"DNA ligase; Nucleic acid; DNA; Oligonucleotide; Chemistry; Transcription (linguistics); Biochemistry; Molecular biology; Biology","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":[0.0006164261,0.0007301853,0.0005135618,0.0003252535,0.0003449306,0.0007023203,0.0005003857,0.0003864434,0.002758005],"category_scores_gemma":[0.0006581167,0.0004344569,0.0005998319,0.0004345404,0.0004349697,0.0004784842,0.0006297682,0.001215557,0.001761885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805837,"about_ca_system_score_gemma":0.0006760883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004494185,"about_ca_topic_score_gemma":0.001098052,"domain_scores_codex":[0.9995352,0.0000784532,0.00003807533,0.0001589967,0.0001059271,0.00008335148],"domain_scores_gemma":[0.999587,0.0001375881,0.0001085668,0.0000670212,0.00004617762,0.00005361696],"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":[0.0001214084,0.00001953311,0.0001247159,0.00007695274,0.000006526869,0.00006778981,0.0000282858,0.0001227296,0.9950604,0.0005022188,0.00009475889,0.003774599],"study_design_scores_gemma":[0.000005869611,0.000040524,0.0001237204,0.00000346496,0.000004691235,0.00006414853,0.000004691553,0.0003967906,0.997164,0.00005799467,0.002129517,0.000004637364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392861,0.001533764,0.4446616,0.0002716662,0.0002261109,0.0006221667,0.00213197,0.003188726,0.008077912],"genre_scores_gemma":[0.7149636,0.001923321,0.245938,0.0001857239,0.00005959278,0.0008268922,0.006582891,0.0009286538,0.0285914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002758005,"threshold_uncertainty_score":0.009226441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105550116597388,"score_gpt":0.2733534140016655,"score_spread":0.2622979128356916,"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."}}