{"id":"W2078562842","doi":"10.1117/12.2053165","title":"Evaluation of thiazole intercalating dyes as acceptors for quantum dot donors in Förster resonance energy transfer","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Förster resonance energy transfer; Quantum dot; Biosensor; Oligonucleotide; Fluorescence; Chemistry; Bioconjugation; DNA; Peptide nucleic acid; Photochemistry; Nanotechnology; Combinatorial chemistry; Materials science; Biochemistry","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":[0.001230184,0.0005278825,0.0003647863,0.0001844202,0.0002649813,0.000493677,0.000637804,0.0007382843,0.0005955535],"category_scores_gemma":[0.0008543916,0.0002813964,0.000251388,0.000303576,0.0002423167,0.0005075243,0.0002323115,0.0005601745,0.0002034929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006034097,"about_ca_system_score_gemma":0.0003112971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971836,"about_ca_topic_score_gemma":0.002861467,"domain_scores_codex":[0.9994556,0.0001679206,0.00003793642,0.00009225239,0.0001537272,0.00009258361],"domain_scores_gemma":[0.9996142,0.0001587314,0.00005236561,0.00002807523,0.00009558699,0.00005103776],"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":[0.0001592891,0.00006830449,0.0001452862,0.00004481791,0.000005030474,0.00003374417,0.00003125893,0.0002869122,0.9976707,0.0001316049,0.00002128391,0.001401869],"study_design_scores_gemma":[0.00001284028,0.0002295195,0.0002578803,0.000003255062,0.000009455249,0.00002809318,0.000007985721,0.001720426,0.9973586,0.000009514152,0.0003569526,0.000005378218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911448,0.0008500994,0.007030497,0.00008568763,0.00001733911,0.00008518247,0.0000712086,0.00005659967,0.0006585147],"genre_scores_gemma":[0.9841425,0.0009133448,0.01329981,0.00004061957,0.000004887379,0.00006259784,0.000158028,0.00002902524,0.001349199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001971836,"threshold_uncertainty_score":0.006505907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126028233462048,"score_gpt":0.2612634870442154,"score_spread":0.2486606636980106,"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."}}