{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000262667,0.0001709048,0.0005510665,0.0003594478,0.00006363956,0.000008128786,0.00007180636,0.0001540182,0.000001437879],"category_scores_gemma":[0.0001342695,0.0001616691,0.0003987665,0.001187908,0.0001362464,0.00001172624,0.00005477614,0.00005477985,0.000001295114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001356334,"about_ca_system_score_gemma":0.00003034334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007764238,"about_ca_topic_score_gemma":0.0001477312,"domain_scores_codex":[0.9987656,0.00009937258,0.0004200183,0.0003508925,0.0001864696,0.0001776455],"domain_scores_gemma":[0.9984115,0.00004133132,0.0006512993,0.0003009702,0.0005666958,0.00002813775],"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":[0.0001752106,0.00005033394,0.0004924673,0.00004105726,0.001245858,0.000001405124,0.00008625772,0.00005612099,0.9945333,0.000001629892,0.0001948055,0.003121569],"study_design_scores_gemma":[0.0003295532,0.0001415302,0.003751173,0.00004985727,0.001216714,0.000001238506,0.0002226891,0.01276402,0.9811118,0.00002198061,0.0002214723,0.0001679869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815037,0.00000983382,0.01764594,0.00005186812,0.00003100891,0.0002957378,0.0003977939,0.00002078425,0.0000433917],"genre_scores_gemma":[0.9878489,0.00009079955,0.00884268,0.00003651055,0.00005675235,0.000002269806,0.003011168,0.00001365052,0.00009731868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342151,"threshold_uncertainty_score":0.6592674,"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."}}