{"id":"W3177968240","doi":"10.3390/bios11070238","title":"Gold–Oligonucleotide Nanoconstructs Engineered to Detect Conserved Enteroviral Nucleic Acid Sequences","year":2021,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Innovate UK; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; University of Nottingham","keywords":"Oligonucleotide; Nucleic acid; In silico; Computational biology; Locked nucleic acid; DNA; Biology; Biosensor; Oligomer restriction; Nucleic acid detection; Biochemistry; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001176874,0.0002809884,0.0002773031,0.00009233131,0.00008627318,0.0000614063,0.0002105098,0.0001954985,0.00001010253],"category_scores_gemma":[0.0003410343,0.0002644908,0.0002060359,0.0003264719,0.0001368452,0.000006105007,0.0001566627,0.0001026769,0.00003342888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152358,"about_ca_system_score_gemma":0.00009323013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001867746,"about_ca_topic_score_gemma":0.0001136889,"domain_scores_codex":[0.9983859,0.0001033628,0.0003087236,0.0006253218,0.0001696083,0.0004070858],"domain_scores_gemma":[0.9989581,0.00001857232,0.00008663364,0.0005518584,0.0001964294,0.0001883978],"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":[0.00004590887,0.00001866507,0.0005109808,0.00001077447,0.00007300927,0.0000603306,0.0000156471,0.000006831701,0.9932674,0.00002066424,0.002089642,0.003880171],"study_design_scores_gemma":[0.0002470537,0.000179886,0.0007267405,0.00003158802,0.00003407258,0.0001025969,0.0001079508,0.0000150502,0.9763831,0.00005413153,0.02176961,0.0003481834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997678,0.0003527889,0.0004486552,0.0005076253,0.0001703036,0.0001548201,0.00006039532,0.0001267107,0.000500718],"genre_scores_gemma":[0.9723363,0.0001371792,0.02529584,0.001216254,0.0001452604,0.000007615123,0.000080835,0.00003475352,0.0007459806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0253417,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009942809141588935,"score_gpt":0.2462013574860053,"score_spread":0.2362585483444164,"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."}}