{"id":"W4403037552","doi":"10.1039/d4an01186d","title":"Selection of DNA aptamers for detecting metronidazole and ibuprofen: two common additives in soft drinks","year":2024,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Aptamer; Metronidazole; Ibuprofen; Selection (genetic algorithm); DNA; Chemistry; Biology; Pharmacology; Microbiology; Antibiotics; Computer science; Genetics; Artificial intelligence","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":[0.000292481,0.00008067152,0.0001313982,0.00006792053,0.00006717299,0.00001668218,0.00006339946,0.00005307911,0.000001415442],"category_scores_gemma":[0.00003027067,0.00005847599,0.00008196337,0.0001845497,0.00008476114,0.000003571849,0.0000381459,0.00007785312,2.333889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001037261,"about_ca_system_score_gemma":0.00001291199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007425495,"about_ca_topic_score_gemma":0.001208677,"domain_scores_codex":[0.9994677,0.00004211285,0.0001363147,0.0001881116,0.00004959518,0.0001161754],"domain_scores_gemma":[0.9997393,0.0000411331,0.0000513717,0.000118828,0.0000342782,0.00001512143],"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":[0.00004248737,0.00001323746,0.001806966,0.00002864065,0.0001393075,5.323901e-7,0.00006688586,0.00002501495,0.9549176,0.00003455637,0.0001030377,0.0428217],"study_design_scores_gemma":[0.0001349943,0.0001460496,0.0007141013,0.00004240324,0.0001167246,0.000006723498,0.00046369,0.01164683,0.9845308,0.0003849476,0.00170717,0.0001055866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912203,0.0006073116,0.007762701,0.0001377701,0.00001804219,0.0001130345,0.00001437021,0.0000229808,0.0001034746],"genre_scores_gemma":[0.9984021,0.00009821678,0.001261679,0.00003405208,0.00006870983,0.000007375772,0.00003674028,0.0000095764,0.00008153644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271611,"threshold_uncertainty_score":0.2384582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009279211347788753,"score_gpt":0.2976059312002001,"score_spread":0.2883267198524114,"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."}}