{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002455427,0.0004267917,0.000278097,0.000216618,0.0001469113,0.0002493683,0.000402561,0.0006326549,0.0003835766],"category_scores_gemma":[0.0003590199,0.0002569202,0.0002077634,0.0001328092,0.0002803997,0.00024234,0.0002683892,0.0004067398,0.0002367303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225687,"about_ca_system_score_gemma":0.0002101582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330174,"about_ca_topic_score_gemma":0.003209376,"domain_scores_codex":[0.9997213,0.00003694875,0.00002379436,0.00008108692,0.00009414934,0.00004260257],"domain_scores_gemma":[0.9998432,0.00003311505,0.00004348386,0.00001565935,0.00003804731,0.00002649058],"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":[0.000007778347,0.000009265637,0.00003744918,0.00001235358,0.000001810611,0.00001046068,0.000005769637,0.0001677337,0.9991223,0.00003750058,0.0000144772,0.0005731878],"study_design_scores_gemma":[0.000004747223,0.0001392946,0.0003832622,0.000002382689,0.000005786515,0.00004121716,0.000008222312,0.002367072,0.9961348,0.00002649051,0.0008816397,0.000005113594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672879,0.001030739,0.02971423,0.0001332517,0.00006681625,0.00009906985,0.0001441817,0.000278672,0.001245262],"genre_scores_gemma":[0.9249376,0.0005739193,0.06982407,0.0001893791,0.00001098502,0.0001162187,0.0003216609,0.00004655279,0.003979567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001330174,"threshold_uncertainty_score":0.004517078,"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."}}