{"id":"W3127360183","doi":"10.1039/d1an00102g","title":"SYBR Green I promotes melamine binding to poly-thymine DNA and FRET-based ratiometric sensing","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; South China Agricultural University","keywords":"SYBR Green I; Förster resonance energy transfer; Melamine; Chemistry; DNA; Biosensor; Thymine; Intramolecular force; Fluorescence; Biophysics; Biochemistry; Real-time polymerase chain reaction; Stereochemistry; Biology; Gene; Physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002767447,0.0001604373,0.0002090959,0.0001961177,0.0001760267,0.00005613018,0.0001079619,0.0000826639,0.000002988578],"category_scores_gemma":[0.0001702692,0.000114662,0.0000994006,0.00114816,0.00007449419,0.000003481955,0.0001228725,0.00007568325,0.000002729996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472066,"about_ca_system_score_gemma":0.00003577656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000606633,"about_ca_topic_score_gemma":0.0002458814,"domain_scores_codex":[0.9989718,0.00009272711,0.0002013618,0.0003696534,0.000151109,0.0002133071],"domain_scores_gemma":[0.9991981,0.0000379599,0.00008346095,0.0004506814,0.0001511555,0.00007868853],"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":[0.00001681445,0.00001954647,0.000335228,0.0000087185,0.0001008466,0.00001503881,0.00001568953,0.000004584859,0.9854463,0.000009076257,0.0001884837,0.01383963],"study_design_scores_gemma":[0.0001447918,0.0001120218,0.000269697,0.00002070443,0.000136194,0.00002556606,0.00008116444,0.0009647805,0.995038,0.00004337183,0.002985739,0.0001780248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820815,0.0008816344,0.01412058,0.002581066,0.000029824,0.0001039682,0.00001848862,0.00003577488,0.0001471536],"genre_scores_gemma":[0.9878806,0.0000468623,0.01014268,0.0006600997,0.0001848365,0.000001710339,0.0001524245,0.00001756524,0.0009131504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0136616,"threshold_uncertainty_score":0.4675781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129988929790341,"score_gpt":0.2633950767047428,"score_spread":0.2520951874068393,"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."}}