{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000555888,0.0008375244,0.0004954124,0.000546996,0.0002243682,0.0004466644,0.0003614322,0.0007688789,0.001247273],"category_scores_gemma":[0.0009561108,0.0003488737,0.0003128603,0.0003636086,0.000411693,0.0002189563,0.000274237,0.0005672252,0.0006523759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820503,"about_ca_system_score_gemma":0.0003454407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005577347,"about_ca_topic_score_gemma":0.001555352,"domain_scores_codex":[0.9987722,0.0002251201,0.00007280434,0.000407421,0.0003755057,0.0001470077],"domain_scores_gemma":[0.9995259,0.0001538526,0.00009329425,0.00002394925,0.000122776,0.00008032027],"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":[0.00001985297,0.00001535544,0.00009096032,0.00001622865,0.000001721325,0.00001032417,0.00001602688,0.00004523738,0.998781,0.00002197653,0.00001040363,0.0009709488],"study_design_scores_gemma":[0.000007618543,0.0001158112,0.0005794727,0.000002751339,0.000006974812,0.00006272771,0.00001145292,0.0005861963,0.9979823,0.00001523894,0.0006243733,0.000005113877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365151,0.001281504,0.05819088,0.0002585179,0.00009522177,0.0004253913,0.0004584597,0.0004118827,0.002363056],"genre_scores_gemma":[0.9133931,0.0006575545,0.0786493,0.0002116983,0.00002483206,0.0005321815,0.000792711,0.00006527494,0.00567335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247273,"threshold_uncertainty_score":0.004223108,"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."}}