{"id":"W3014519835","doi":"10.1021/acs.analchem.9b05740","title":"Aptamer Binding Assay for the E Antigen of Hepatitis B Using Modified Aptamers with G-Quadruplex Structures","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Li Ka Shing Institute of Virology, University of Alberta; Canadian Institutes of Health Research; Alberta Innovates; Canada Research Chairs; Alberta Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Chemistry; G-quadruplex; HBeAg; Molecular biology; Ligand binding assay; Systematic evolution of ligands by exponential enrichment; Virology; Hepatitis B virus; Biochemistry; DNA; RNA; Biology; Virus; HBsAg; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001054905,0.0001713973,0.0002314266,0.0000121002,0.0000904574,0.00001933607,0.000195759,0.0001362341,0.000008537669],"category_scores_gemma":[0.0001769164,0.0001116779,0.0001694097,0.0001690937,0.0002600403,0.00000343495,0.00006198171,0.0001028323,1.986465e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000937256,"about_ca_system_score_gemma":0.00005208564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002385095,"about_ca_topic_score_gemma":0.000002885404,"domain_scores_codex":[0.999051,0.00001665355,0.000220477,0.00033716,0.0001614915,0.0002131659],"domain_scores_gemma":[0.999342,0.00004653167,0.00013334,0.0002636129,0.0001238535,0.00009071372],"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":[0.0001278987,0.00001483013,0.001894668,0.00004710077,0.000274148,0.000001965501,0.00001184464,0.0003743068,0.9961578,0.0000326584,0.0003893498,0.0006734421],"study_design_scores_gemma":[0.000219405,0.0000814333,0.0001132783,0.00001321315,0.0001768562,0.00000674038,0.0001205015,0.03115783,0.9666812,0.0000242276,0.001220644,0.0001846463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147046,0.0001110795,0.08417498,0.0004190285,0.00001029193,0.0001470972,0.0000683137,0.00002474952,0.0003398276],"genre_scores_gemma":[0.9926714,0.00008574424,0.006634195,0.0002426543,0.0001752763,0.000003664772,0.00008005646,0.00002146213,0.0000855688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07796675,"threshold_uncertainty_score":0.4554092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279589552192536,"score_gpt":0.2923683693821963,"score_spread":0.2644094141629427,"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."}}