{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002252774,0.00007843105,0.0001336244,0.00007929371,0.00008648675,0.00000385835,0.0001341829,0.0001386425,0.000004425926],"category_scores_gemma":[0.00007615278,0.00005467413,0.0001395351,0.0000884147,0.0001623064,0.000002522569,0.000006524805,0.00008759416,3.71477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002067032,"about_ca_system_score_gemma":0.0002260493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005803242,"about_ca_topic_score_gemma":0.01274364,"domain_scores_codex":[0.9994666,0.00004568851,0.0002231363,0.00009476266,0.00001416537,0.0001556554],"domain_scores_gemma":[0.9993103,0.0000141939,0.0002327574,0.00009806896,0.0002756046,0.00006908487],"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":[0.00007216038,0.000006703621,0.0004429018,0.000003003334,0.0000982901,5.518274e-7,0.00003018729,0.000002082031,0.9950538,0.00001476533,0.000599963,0.003675536],"study_design_scores_gemma":[0.0001450345,0.0005018759,0.0004371946,0.000005714377,0.00006373115,0.000131184,0.00005924394,0.000007307737,0.9257727,0.00005375878,0.07275792,0.0000643403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520008,0.001275482,0.04599433,0.0001194346,0.000322419,0.0001443915,0.0000316867,0.000003560541,0.0001078836],"genre_scores_gemma":[0.9957852,0.00008841521,0.003663067,0.0002161899,0.0001430541,0.000001954553,0.000006725896,0.000008881659,0.00008647171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07215796,"threshold_uncertainty_score":0.7111252,"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."}}