{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001093636,0.0003603239,0.0006377992,0.00004521677,0.0001948651,0.00003775219,0.0003171257,0.0006207476,0.000004362813],"category_scores_gemma":[0.00006914317,0.0003251164,0.0003745142,0.0002254995,0.0002454059,0.000002213421,0.0004093437,0.0002166374,0.00003242591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003764303,"about_ca_system_score_gemma":0.00007766482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009805351,"about_ca_topic_score_gemma":0.000003442912,"domain_scores_codex":[0.9987013,0.00003195572,0.0002051931,0.0007175064,0.0001152583,0.0002287926],"domain_scores_gemma":[0.9990179,0.00003275478,0.0002093461,0.0005650191,0.00005582839,0.0001191751],"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":[0.00001248767,0.0000621465,0.00002658745,0.00915182,0.0007328019,0.0000180948,0.00000319983,3.799593e-8,0.004608244,0.000001888871,0.01976262,0.9656201],"study_design_scores_gemma":[0.00003446152,0.000007855748,0.000002089381,0.0004979897,0.0008062979,0.00003635374,0.00002134194,8.690651e-8,0.01430479,0.000006337052,0.9839118,0.0003705715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006494203,0.9980143,0.00004741096,0.00002011889,0.00002011019,0.0002917276,0.0008940024,0.0001419278,0.000505415],"genre_scores_gemma":[0.00003310613,0.9965854,0.0004251145,0.00002361275,0.0002266455,0.00004515889,0.001276029,0.00001984866,0.001365028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9652495,"threshold_uncertainty_score":0.9999201,"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."}}