{"id":"W2566017761","doi":"10.1002/cpnc.17","title":"Rolling Circle Amplification with Chemically Modified Nucleoside Triphosphates","year":2016,"lang":"en","type":"article","venue":"Current Protocols in Nucleic Acid Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Bern","keywords":"Rolling circle replication; Template; Combinatorial chemistry; Primer extension; Nuclease; Nucleoside; Nucleic acid; DNA; Primer (cosmetics); Chemistry; Loop-mediated isothermal amplification; Nucleotide; Context (archaeology); Nanotechnology; Computational biology; DNA replication; Biochemistry; Biology; Materials science; Base sequence; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001937834,0.0002697663,0.000252584,0.00003184359,0.00006861948,0.00003800712,0.0003580318,0.0002138157,0.00001018616],"category_scores_gemma":[0.0001216994,0.0001981779,0.0000990795,0.0001894096,0.0001915596,0.00001449473,0.0000961485,0.000160731,0.000004608729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007154088,"about_ca_system_score_gemma":0.00007206657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001259264,"about_ca_topic_score_gemma":0.000001522342,"domain_scores_codex":[0.9982921,0.00002527205,0.0004044812,0.0006902166,0.0002147992,0.0003730849],"domain_scores_gemma":[0.998861,0.00001444006,0.000229877,0.0006511218,0.000133745,0.0001098476],"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":[0.0002710071,0.0001594636,0.001720122,0.00008492627,0.00001939501,0.000001709343,0.000006893162,0.000004090253,0.9604396,0.000008264924,0.0001695076,0.03711503],"study_design_scores_gemma":[0.001183799,0.00007262627,0.0004494959,0.000467563,0.0000129891,0.00000968824,0.00001226074,0.00003914855,0.9898841,0.0002162228,0.007295263,0.0003568339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767137,0.0002437346,0.01301319,0.0003038527,0.00002564006,0.008759609,0.00002745656,0.0001807896,0.0007320492],"genre_scores_gemma":[0.9906384,0.00009679435,0.002474524,0.00004530438,0.0001640156,0.006368819,0.00005832633,0.00004184211,0.0001119149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0367582,"threshold_uncertainty_score":0.8081459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601776897049064,"score_gpt":0.2955239393253888,"score_spread":0.2795061703548982,"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."}}