{"id":"W2135614629","doi":"10.1371/journal.pone.0079087","title":"Ultrasensitive Norovirus Detection Using DNA Aptasensor Technology","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Health Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Aptamer; Norovirus; Systematic evolution of ligands by exponential enrichment; Murine norovirus; Feline calicivirus; Virology; DNA; Detection limit; Biology; Molecular biology; Chemistry; Ion semiconductor sequencing; Virus; DNA sequencing; Chromatography; Gene; Genetics; RNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762626,0.0009708756,0.0005798148,0.0006030038,0.0001513688,0.0004780967,0.0005981586,0.0007762815,0.001002958],"category_scores_gemma":[0.0008284805,0.0004482026,0.0003592818,0.0003599958,0.0003472624,0.0004117925,0.0005005823,0.0009112647,0.0006332009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004846492,"about_ca_system_score_gemma":0.0002634359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004131134,"about_ca_topic_score_gemma":0.0009422609,"domain_scores_codex":[0.9991944,0.0001748791,0.00003311772,0.0002373413,0.0002891587,0.0000710239],"domain_scores_gemma":[0.9996363,0.0001567333,0.00006262492,0.0000247206,0.00008614099,0.00003342102],"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":[0.00003240466,0.00001214639,0.0001441393,0.00005008656,0.000008499393,0.0000227505,0.00002029071,0.0003042941,0.99621,0.0001102273,0.00002835426,0.003056757],"study_design_scores_gemma":[0.000006555102,0.0001277167,0.0003029923,0.000004663733,0.000007247537,0.0001140043,0.00001341571,0.002532521,0.9959377,0.0001256812,0.000818286,0.00000933135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5667192,0.006878434,0.4162224,0.0003187489,0.0001903603,0.0005407839,0.001128357,0.00227869,0.005723144],"genre_scores_gemma":[0.7606875,0.003659165,0.2258214,0.0003669014,0.00003313775,0.0004085648,0.0007520815,0.00008024872,0.008191078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001002958,"threshold_uncertainty_score":0.003516376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246391010747052,"score_gpt":0.2811916762441531,"score_spread":0.2087277661366826,"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."}}