{"id":"W4402354908","doi":"10.1002/advs.202309027","title":"Integrated Electrochemical Aptamer Biosensing and Colorimetric pH Monitoring via Hydrogel Microneedle Assays for Assessing Antibiotic Treatment","year":2024,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Aptamer; FLEX; In vivo; Biosensor; Biomedical engineering; Chromatography; Chemistry; Therapeutic drug monitoring; Antibiotics; Pharmacokinetics; Nanotechnology; Pharmacology; Materials science; Medicine; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000303028,0.0004075718,0.0003063765,0.0003196796,0.00009949778,0.0003178168,0.0003615588,0.0006745794,0.0005715948],"category_scores_gemma":[0.0004783591,0.0001985008,0.0002233631,0.0001891338,0.0001586312,0.0004258109,0.0003723957,0.0003529576,0.000260145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591279,"about_ca_system_score_gemma":0.0002627804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004748554,"about_ca_topic_score_gemma":0.001199227,"domain_scores_codex":[0.9993924,0.00007581268,0.00003632118,0.0001498551,0.0003081273,0.00003745955],"domain_scores_gemma":[0.9997392,0.00006946486,0.00007323809,0.00002082712,0.00006894783,0.00002818028],"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":[0.00003875014,0.00001824707,0.0001853319,0.00004201152,0.000003977861,0.00001906919,0.000008578286,0.0001825134,0.991199,0.00006136687,0.00005401599,0.00818721],"study_design_scores_gemma":[0.000006001887,0.0001659354,0.001002836,0.000004726965,0.00000812159,0.0001422926,0.000009834241,0.004389,0.9930519,0.00004368238,0.001164172,0.00001153873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6968664,0.01793158,0.2733718,0.000671284,0.0005125456,0.0003958937,0.0009298224,0.001683502,0.007637235],"genre_scores_gemma":[0.8411297,0.003540005,0.147979,0.0004302823,0.00008262345,0.0001592589,0.0002165218,0.00003319273,0.006429415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006745794,"threshold_uncertainty_score":0.004056752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08103657302593353,"score_gpt":0.4417352508899187,"score_spread":0.3606986778639851,"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."}}