{"id":"W2016715517","doi":"10.1016/j.bios.2014.08.033","title":"Switchable aptamers for biosensing and bioseparation of viruses (SwAps-V)","year":2014,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation","keywords":"Aptamer; Biosensor; Nanotechnology; Virology; Chemistry; Combinatorial chemistry; Computational biology; Materials science; Biology; Molecular biology","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":[0.0002757913,0.0001919215,0.0002444298,0.00008785492,0.0001021267,0.00002722921,0.0000585815,0.0001818909,2.130932e-7],"category_scores_gemma":[0.0001112832,0.0001626714,0.00008264811,0.0001150782,0.0002083868,0.000006368097,0.00004661253,0.00005537533,1.975331e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009127059,"about_ca_system_score_gemma":0.00002719323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394672,"about_ca_topic_score_gemma":0.00004686109,"domain_scores_codex":[0.9989485,0.00004107822,0.0002541997,0.00039067,0.00008446098,0.0002810635],"domain_scores_gemma":[0.9994127,0.00003512402,0.0001570414,0.0002102626,0.0001186207,0.00006631701],"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":[0.0001053026,0.00002609283,0.0002987366,0.00003059118,0.00004607155,1.039149e-7,0.00001193733,0.000001120377,0.9810474,0.0009030371,0.0002696463,0.01725999],"study_design_scores_gemma":[0.0003709718,0.001052282,0.0001383724,0.00001824508,0.00005998578,0.00001347227,0.00005222101,0.001303833,0.9682328,0.0004247301,0.02809739,0.0002356623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956141,0.0007228988,0.003066259,0.0001883923,0.0000353647,0.0002089417,0.00002332157,0.00002995085,0.0001107706],"genre_scores_gemma":[0.9869105,0.001257624,0.01128957,0.0002461681,0.0001094029,0.000003724781,0.00004382911,0.00002096789,0.0001182593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02782774,"threshold_uncertainty_score":0.6633546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009767014686293797,"score_gpt":0.2685136585873373,"score_spread":0.2587466439010435,"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."}}