{"id":"W3217770079","doi":"10.1007/978-1-0716-1803-5_25","title":"Electrochemical Aptamer-Based Sensors: A Platform Approach to High-Frequency Molecular Monitoring In Situ in the Living Body","year":2021,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Aptamer; Microdialysis; Analyte; In vivo; Chemistry; Modular design; In situ; Electrochemistry; Nanotechnology; Combinatorial chemistry; Computer science; Materials science; Electrode; Chromatography; Biology; Organic chemistry; Physical chemistry; Molecular biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001647265,0.0003572709,0.0004936156,0.000314095,0.00004222604,0.00003116901,0.0004740747,0.0005108438,9.660716e-7],"category_scores_gemma":[0.00135575,0.0003076374,0.0001843517,0.001106384,0.0001207111,0.000005032205,0.0002058953,0.0005442358,8.446912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010053,"about_ca_system_score_gemma":0.0001196822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006442604,"about_ca_topic_score_gemma":0.00004612193,"domain_scores_codex":[0.9961219,0.001481256,0.0005573145,0.0009805625,0.0001606911,0.00069829],"domain_scores_gemma":[0.9987543,0.0001660721,0.0001048827,0.0008061853,0.00009154122,0.00007707428],"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":[0.00003636118,0.0002411675,0.002738104,0.00001597424,0.00002933015,0.0001113886,0.00005893728,0.0001295285,0.9944959,0.000551561,0.000002364937,0.00158934],"study_design_scores_gemma":[0.0003295138,0.0001579358,0.0008172168,0.00006034467,0.00001960671,0.00004553346,0.0001959509,0.0001739689,0.9961548,0.001517617,0.0001515577,0.0003759311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5368553,0.0005503919,0.4616171,0.0001867849,0.00004110196,0.0002252335,0.000002276839,0.00001951705,0.0005023383],"genre_scores_gemma":[0.535596,0.00003699031,0.4636947,0.0004869617,0.00004226669,0.0000649194,0.00004997794,0.00002176661,0.00000645467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002632359,"threshold_uncertainty_score":0.9999376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839341818766717,"score_gpt":0.358400600265903,"score_spread":0.3400071820782359,"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."}}