{"id":"W4392162505","doi":"10.1021/acssensors.3c01638","title":"Aptamer–Antibody Chimera Sensors for Sensitive, Rapid, and Reversible Molecular Detection in Complex Samples","year":2024,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stanford Maternal and Child Health Research Institute; Medtronic Foundation; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Aptamer; Analyte; Epitope; Chemistry; Biosensor; Biophysics; Antibody; Nanotechnology; Computational biology; Combinatorial chemistry; Molecular biology; Materials science; Biochemistry; Biology; Chromatography; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.000204966,0.0002173337,0.0002273072,0.0001746503,0.00008626209,0.00004824733,0.00005802162,0.0001782981,0.000001296652],"category_scores_gemma":[0.00009532696,0.0002058623,0.0001227072,0.0002401468,0.0001278224,0.00000808934,0.00005613963,0.0001161997,0.000002303049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159555,"about_ca_system_score_gemma":0.00001924745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004612069,"about_ca_topic_score_gemma":0.00005149834,"domain_scores_codex":[0.9987581,0.00008021483,0.000222516,0.0005573432,0.0001009983,0.0002807817],"domain_scores_gemma":[0.9995342,0.00004636762,0.00004987935,0.000233786,0.00007609627,0.00005961804],"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":[0.00007306045,0.00001717291,0.00007235763,0.00004413666,0.0000847009,0.00002477142,0.00003870223,0.00004627593,0.9896247,0.00005937119,0.0002259453,0.009688767],"study_design_scores_gemma":[0.0002400875,0.000187273,0.000564059,0.00004208676,0.00006079373,0.00007265664,0.0001941304,0.002116461,0.9739789,0.0001589274,0.02210071,0.0002839592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919773,0.0004974452,0.006560242,0.0003088302,0.00005969534,0.000284703,0.0000550133,0.00008643152,0.0001703542],"genre_scores_gemma":[0.9908675,0.0006913342,0.007632473,0.0001787359,0.0001057899,0.000007205292,0.0002611026,0.00003675734,0.0002190888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02187477,"threshold_uncertainty_score":0.8394821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514030832192858,"score_gpt":0.2931617974510858,"score_spread":0.2780214891291573,"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."}}