{"id":"W4386754369","doi":"10.1002/cbdv.202301008","title":"Aptamers: Features, Synthesis and Applications","year":2023,"lang":"en","type":"review","venue":"Chemistry & Biodiversity","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Natural Sciences and Engineering Research Council of Canada; Sacred Heart College; University of Windsor","keywords":"Aptamer; Nanotechnology; Computer science; Drug delivery; Computational biology; Biochemical engineering; Chemistry; Data science; Engineering; Biology; Molecular biology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005694222,0.00111032,0.001055487,0.002397071,0.0002958321,0.001255364,0.0007536052,0.001346762,0.002730362],"category_scores_gemma":[0.0005390592,0.0005563595,0.0004529734,0.002106524,0.0005504044,0.001525331,0.0007327648,0.002308147,0.002951805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185116,"about_ca_system_score_gemma":0.0007337806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008253338,"about_ca_topic_score_gemma":0.0008420828,"domain_scores_codex":[0.9996355,0.00003352787,0.00004284348,0.00007805284,0.0001726433,0.00003734175],"domain_scores_gemma":[0.9998193,0.00006808285,0.00003416324,0.000008223625,0.00005381894,0.00001633387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004301846,0.00009071832,0.0001347596,0.01193456,0.00003129048,0.0002069918,0.00008489426,0.0008182499,0.01720336,0.007684772,0.01827668,0.9434906],"study_design_scores_gemma":[0.000005346959,0.00006903572,0.0002606437,0.001209233,0.00002339375,0.001149085,0.00002590736,0.0001406832,0.003783984,0.001899897,0.9914144,0.00001846599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003500595,0.9946813,0.0008514135,0.0002444111,0.0002913483,0.00001459834,0.00003386892,0.00002245022,0.003510452],"genre_scores_gemma":[0.001949567,0.9932366,0.001012001,0.0003360963,0.0002557391,0.00002545105,0.00006068476,0.00000573694,0.003118141],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002730362,"threshold_uncertainty_score":0.009133995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712470158339405,"score_gpt":0.2937875205205362,"score_spread":0.2666628189371422,"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."}}