{"id":"W4220829642","doi":"10.3390/mi13030436","title":"Multivalent Aptamer Approach: Designs, Strategies, and Applications","year":2022,"lang":"en","type":"review","venue":"Micromachines","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Nanotechnology; Avidity; Computational biology; Chemistry; Computer science; Biology; Materials science; Molecular biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004874544,0.001005285,0.001044016,0.002452413,0.0002392195,0.0008800493,0.001007717,0.00108525,0.002682552],"category_scores_gemma":[0.0003709794,0.0004567124,0.0005011313,0.001801121,0.0003672988,0.001299788,0.0006546654,0.001742831,0.001941968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006852066,"about_ca_system_score_gemma":0.0006301504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006612905,"about_ca_topic_score_gemma":0.0007814607,"domain_scores_codex":[0.9997846,0.00002436888,0.00001979816,0.00005369517,0.00008926159,0.00002828279],"domain_scores_gemma":[0.9998798,0.00005105595,0.00001850895,0.000005242518,0.00003252821,0.00001283653],"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":[0.00005904274,0.0001259068,0.0001369827,0.01567006,0.0000743517,0.0003058565,0.00009148993,0.00093612,0.01703447,0.00993003,0.01425278,0.9413829],"study_design_scores_gemma":[0.000009938318,0.0001104944,0.0002472748,0.00102735,0.00005211445,0.001132781,0.00003179998,0.0001991529,0.005674292,0.001708122,0.9897823,0.00002422214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003674339,0.9962409,0.001045167,0.0001483169,0.0001653881,0.00001305991,0.00002121114,0.00002006588,0.001978475],"genre_scores_gemma":[0.002038965,0.9943014,0.001258015,0.0002241537,0.0001104267,0.00002665489,0.00005044335,0.000005068371,0.00198484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002682552,"threshold_uncertainty_score":0.008973956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05101349115288517,"score_gpt":0.3421359232703879,"score_spread":0.2911224321175028,"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."}}