{"id":"W1974092758","doi":"10.1139/w11-030","title":"Aptamer selection for the detection of<i>Escherichia coli</i>K88","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Fimbria; Escherichia coli; Enterotoxigenic Escherichia coli; Biology; Oligonucleotide; DNA; Bacteria; Microbiology; Molecular biology; Biochemistry; Gene; Genetics; RNA","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708952,0.0003733787,0.0004233289,0.0002398076,0.0001496184,0.0002743976,0.0003036396,0.0003927205,0.0006169319],"category_scores_gemma":[0.0004181688,0.0001931058,0.0002178188,0.000174853,0.0001510601,0.0001978772,0.0003542865,0.0004063294,0.0004116367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703465,"about_ca_system_score_gemma":0.0001208926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875156,"about_ca_topic_score_gemma":0.0004160776,"domain_scores_codex":[0.9995843,0.00009991999,0.00002826979,0.0001047717,0.0001261584,0.00005657898],"domain_scores_gemma":[0.9998129,0.00005009106,0.00004580297,0.00002296315,0.00004687377,0.00002151887],"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":[0.00002318547,0.00001322496,0.0001785043,0.00001584157,0.000002276458,0.00002180369,0.0000125886,0.00009459043,0.997588,0.00001920305,0.00001468105,0.002016085],"study_design_scores_gemma":[0.000004337148,0.000100931,0.0007298741,0.000002538217,0.000005976029,0.0002376348,0.00001659006,0.001256544,0.9967853,0.00001804465,0.0008374921,0.000004891281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305162,0.0006254727,0.06708593,0.0001256605,0.00002960299,0.000138778,0.0001487713,0.000225709,0.001103907],"genre_scores_gemma":[0.9226435,0.000542786,0.07383569,0.000142295,0.00001023365,0.0001016248,0.0003184372,0.00006310557,0.002342253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006169319,"threshold_uncertainty_score":0.00206387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216984448561407,"score_gpt":0.2236305980573013,"score_spread":0.2114607535716872,"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."}}