{"id":"W2975248425","doi":"10.1021/acssensors.9b01616","title":"Electrochemical Aptamer-Based Sensors for Improved Therapeutic Drug Monitoring and High-Precision, Feedback-Controlled Drug Delivery","year":2019,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; W. M. Keck Foundation","keywords":"Aptamer; Therapeutic drug monitoring; Pharmacokinetics; Biomedical engineering; Vancomycin; Drug delivery; Drug; Dosing; Therapeutic index; Computer science; Pharmacology; Materials science; Medicine; Nanotechnology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002850649,0.0003361951,0.0004807401,0.0000912051,0.0001215702,0.00004783755,0.0001716135,0.0002124565,0.000001950176],"category_scores_gemma":[0.0001037032,0.000278001,0.0002340468,0.0001209898,0.00009605814,0.00000827907,0.00006293461,0.0001618054,0.00000407973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000335721,"about_ca_system_score_gemma":0.00004776486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001924955,"about_ca_topic_score_gemma":0.000005733584,"domain_scores_codex":[0.9982637,0.00008712843,0.0003482677,0.0006768305,0.0001494711,0.0004746594],"domain_scores_gemma":[0.998824,0.0001681015,0.0001783331,0.0004870294,0.0002300855,0.0001124215],"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":[0.001176797,0.00004685281,0.0006602387,0.00001601822,0.0001509753,7.401025e-7,0.00001671505,0.00002052194,0.9950169,0.000006290437,0.0001492021,0.002738781],"study_design_scores_gemma":[0.002930305,0.0001990466,0.0002480078,0.00002652167,0.0001247072,0.000005444946,0.0001082043,0.001498788,0.9929053,0.0001728633,0.001401196,0.0003796077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997398,0.0005664957,0.0006635402,0.000426885,0.0001295866,0.0006834927,0.00001489056,0.00008272544,0.00003439355],"genre_scores_gemma":[0.9893023,0.0003199975,0.008650136,0.0002341996,0.0002628141,0.00002973181,0.00007735074,0.00005436427,0.00106904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008095625,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00551917795468949,"score_gpt":0.242998238783277,"score_spread":0.2374790608285875,"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."}}