{"id":"W2148513123","doi":"10.1002/anie.201505179","title":"A Modular, DNA‐Based Beacon for Single‐Step Fluorescence Detection of Antibodies and Other Proteins","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Associazione Italiana per la Ricerca sul Cancro; Bill and Melinda Gates Foundation","keywords":"Molecular beacon; Fluorophore; Chemistry; Nucleic acid; Fluorescence; DNA; Biophysics; Antibody; Biochemistry; Molecular biology; Combinatorial chemistry; Biology; Genetics","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":[0.0001163281,0.00009142628,0.00009055963,0.00005209324,0.0000271929,0.00001426605,0.00006197984,0.00009361975,7.047192e-7],"category_scores_gemma":[0.0001636465,0.00008432337,0.00005813876,0.00003965626,0.00008520667,0.000009802011,0.00002394507,0.00003002694,1.836321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002470388,"about_ca_system_score_gemma":0.00001920618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428372,"about_ca_topic_score_gemma":0.00002058105,"domain_scores_codex":[0.9994357,0.0000101136,0.000142289,0.0001989241,0.0001319203,0.00008101809],"domain_scores_gemma":[0.9994344,0.000009064909,0.0001199301,0.00009838913,0.0003029226,0.00003532612],"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":[0.0001464933,0.00005860942,0.0001647614,0.00001604687,0.00003235665,3.143672e-7,0.00001080575,0.00000397394,0.9972419,0.00001125982,0.0002660714,0.002047456],"study_design_scores_gemma":[0.0004227276,0.0002426205,0.0001000737,0.00003886495,0.00001989496,0.000006505055,0.00003642596,0.0004371715,0.9912676,0.0002212426,0.007107975,0.00009890577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.737452,0.0001765714,0.260289,0.0003621329,0.0003032042,0.000374503,0.0002249588,0.00005074643,0.0007669592],"genre_scores_gemma":[0.9888695,0.00001544794,0.0102378,0.0001113344,0.0004137337,0.00002730616,0.0002500351,0.0000108404,0.00006398404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514176,"threshold_uncertainty_score":0.3438607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259876922177197,"score_gpt":0.2808795051055326,"score_spread":0.2582807358837607,"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."}}