{"id":"W2793945124","doi":"10.1055/s-0036-1591959","title":"Expanding the Chemical Diversity of DNA","year":2018,"lang":"en","type":"article","venue":"Synlett","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":"Division of Materials Research; National Institutes of Health","keywords":"Nucleic acid; Oligonucleotide; Chemistry; Polymer; Polymerization; Deoxyribozyme; Nucleic acid analogue; DNA; Aptamer; Nucleic acid methods; Combinatorial chemistry; Nanotechnology; Nucleic acid thermodynamics; Organic chemistry; Biochemistry; Genetics; Base sequence; Biology; Materials science","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":[0.0001032248,0.00005736373,0.00006791875,0.00001266001,0.0001060473,0.000003643416,0.0001432185,0.00005957919,0.000003396279],"category_scores_gemma":[0.00004519332,0.00003742672,0.00006347273,0.00006448777,0.0002525993,0.000001059804,0.0002562958,0.00003430945,0.000002152479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004513486,"about_ca_system_score_gemma":0.000007081347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008558741,"about_ca_topic_score_gemma":0.000005416723,"domain_scores_codex":[0.9996039,0.00001834394,0.00007710666,0.000130361,0.00007461545,0.00009573078],"domain_scores_gemma":[0.9996467,0.00000632454,0.00004754114,0.0002231188,0.00005776301,0.00001858367],"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":[0.00001811115,0.00001045799,0.0009531034,0.00000182124,0.00002116877,3.146603e-7,0.00002254479,3.511418e-8,0.995684,0.00002464842,0.001792917,0.001470853],"study_design_scores_gemma":[0.00005654205,0.00005994,0.0002985452,0.000005070043,0.00001538907,0.000003601192,0.00003717561,0.000003404144,0.9959205,0.0001288103,0.003416298,0.00005468676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971204,0.00003968237,0.001159148,0.0001906085,0.00003232306,0.00003592795,0.000004340852,0.00001334938,0.001404185],"genre_scores_gemma":[0.9984002,0.00001662277,0.001004422,0.0002034535,0.0002075,6.22968e-7,0.000008652305,0.00000398014,0.0001545231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001623381,"threshold_uncertainty_score":0.1526217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115529069015878,"score_gpt":0.2678134603757414,"score_spread":0.2566581696855826,"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."}}