{"id":"W4375862193","doi":"10.1002/anse.202300029","title":"Cover Feature: Comparative Characterization of Diverse DNA Aptamers for Recognition of Spike Proteins of Multiple SARS‐CoV‐2 Variants (Anal. Sens. 5/2023)","year":2023,"lang":"en","type":"article","venue":"Analysis & Sensing","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Aptamer; Cover (algebra); Spike (software development); Computational biology; Surface protein; Spike Protein; DNA; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Biology; Genetics; Virology; Computer science; Medicine; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001646007,0.0006045544,0.0004334414,0.000971547,0.0002479855,0.0001790013,0.0004876037,0.0005879746,0.04869396],"category_scores_gemma":[0.0003026766,0.0002507675,0.0004329564,0.0005621583,0.0001482624,0.0002731122,0.0002089337,0.0003712095,0.006036649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577515,"about_ca_system_score_gemma":0.0001050193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006019897,"about_ca_topic_score_gemma":0.001016045,"domain_scores_codex":[0.9997751,0.00001276121,0.000007787922,0.00003826245,0.0001200248,0.00004613916],"domain_scores_gemma":[0.9997481,0.00009624866,0.00003866675,0.00001576363,0.0000520197,0.00004935734],"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":[0.0002545165,0.00003458766,0.0001647489,0.00007690011,0.000011501,0.0001112159,0.00001115566,0.00007457601,0.9879022,0.00008844827,0.005129741,0.006140502],"study_design_scores_gemma":[0.00003650974,0.0006274422,0.01637885,0.00002160477,0.00002684535,0.0009994934,0.00004274508,0.001932209,0.9652865,0.0001140842,0.01451456,0.00001918993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593858,0.009792357,0.07463871,0.003132042,0.00267204,0.0005961567,0.03813972,0.008491603,0.1031514],"genre_scores_gemma":[0.7619065,0.005298702,0.05261627,0.002029429,0.0007084934,0.0006584974,0.05237577,0.001653701,0.1227526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04869396,"threshold_uncertainty_score":0.1628975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367305398620104,"score_gpt":0.2999537452817346,"score_spread":0.2662806912955336,"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."}}