{"id":"W4243529542","doi":"10.1155/2009/154321","title":"Structural analysis of DNA and RNA interactions with antioxidant flavonoids","year":2009,"lang":"en","type":"article","venue":"Spectroscopy An International Journal","topic":"Bioactive Compounds and Antitumor Agents","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; National and Kapodistrian University of Athens; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agricultural University of Athens; Islamic Azad University","keywords":"Chemistry; DNA; Stereochemistry; Delphinidin; Kaempferol; Antioxidant; Apigenin; Morin; Adduct; RNA; Flavonoid; Biochemistry; Organic chemistry; Cyanidin","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":[0.000126321,0.0002152922,0.0001923514,0.0002094589,0.0001367601,0.0001103199,0.000200452,0.0002979684,0.001357822],"category_scores_gemma":[0.0002390777,0.0001315179,0.0003078384,0.0001504071,0.0001064749,0.0002243537,0.0001052811,0.0003264153,0.0003007855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445541,"about_ca_system_score_gemma":0.0001064932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000885656,"about_ca_topic_score_gemma":0.0006811575,"domain_scores_codex":[0.9998956,0.00001961751,0.000003927605,0.00002865978,0.00003068597,0.00002158585],"domain_scores_gemma":[0.9998636,0.00004082875,0.00004523401,0.00000628267,0.00003265107,0.0000113271],"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":[0.00007673676,0.0000126811,0.000653479,0.00014489,0.00002106324,0.00004958506,0.00004351812,0.0003909447,0.9961265,0.0001005564,0.00004898952,0.002331222],"study_design_scores_gemma":[0.00001704821,0.0005297938,0.0223305,0.00002391643,0.00007301186,0.0002950054,0.0001182643,0.003734553,0.9668518,0.0002060706,0.00579626,0.00002381696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875519,0.006258316,0.003842596,0.0001131473,0.0000140888,0.00002316755,0.000339706,0.00003987909,0.001817091],"genre_scores_gemma":[0.9936057,0.002021028,0.002368786,0.00008052419,0.000007825656,0.0000235925,0.0004670481,0.00001111262,0.001414264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001357822,"threshold_uncertainty_score":0.004542351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06255516058498257,"score_gpt":0.4490929548708461,"score_spread":0.3865377942858635,"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."}}