{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009730172,0.0001082316,0.0003391109,0.0002259439,0.00007001743,0.000008991386,0.00004641039,0.0001319277,0.0002779528],"category_scores_gemma":[0.0008506274,0.00009842071,0.00004926751,0.0001858639,0.0001602555,0.00007778657,0.00003651557,0.000301146,0.0005674231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514827,"about_ca_system_score_gemma":0.00002271013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440769,"about_ca_topic_score_gemma":0.00003970227,"domain_scores_codex":[0.9988728,0.00007513593,0.000203045,0.0002331897,0.0001737303,0.000442092],"domain_scores_gemma":[0.9993421,0.00002555415,0.00004966576,0.0002082153,0.0002028197,0.0001716379],"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":[0.0001040763,0.0003894478,0.01134898,0.00004325752,0.0001482256,0.00005931443,0.00000966175,8.004311e-7,0.9837403,0.000006632758,0.00008319895,0.004066139],"study_design_scores_gemma":[0.00140156,0.001751468,0.03302758,0.0002678779,0.0001450289,0.0003389537,0.0002133758,0.006415079,0.9559078,0.0003093355,0.00006974635,0.0001521658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957641,0.0000587951,0.0004293572,0.002733299,0.00002346526,0.0004923815,0.00001067789,0.0001180105,0.0003698581],"genre_scores_gemma":[0.9931843,0.00006298809,0.005560889,0.0007124572,0.0001610808,0.00004008136,0.0000136561,0.00001886632,0.0002456812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02783244,"threshold_uncertainty_score":0.7293265,"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."}}