{"id":"W2047955348","doi":"10.1016/j.aca.2008.10.027","title":"Kinetic capillary electrophoresis-based affinity screening of aptamer clones","year":2008,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Capillary electrophoresis; Chemistry; DNA; Oligonucleotide; Molecular biology; Systematic evolution of ligands by exponential enrichment; Primer (cosmetics); Computational biology; DNA sequencing; Chromatography; Biochemistry; Biology; RNA; Gene","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":[0.001154893,0.0007921182,0.001090722,0.0009777672,0.0004405513,0.0009562338,0.001178594,0.000846652,0.001817863],"category_scores_gemma":[0.002089568,0.0006217613,0.0005166341,0.0007786567,0.0003673142,0.0004664215,0.0006493914,0.001446607,0.001858456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808313,"about_ca_system_score_gemma":0.0003816237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465398,"about_ca_topic_score_gemma":0.002299572,"domain_scores_codex":[0.9986506,0.0002166096,0.00009019646,0.0003173959,0.000473267,0.0002519621],"domain_scores_gemma":[0.9982989,0.0009134292,0.0001067531,0.0001672381,0.0003639641,0.0001497613],"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":[0.00006579263,0.0000460724,0.0001515306,0.00003314814,0.000008843615,0.00001585195,0.00002608006,0.0001420742,0.9958808,0.0001241054,0.0001002463,0.003405597],"study_design_scores_gemma":[0.000009133585,0.00005873062,0.0005950041,0.000002219593,0.0000116303,0.0000961183,0.000009705198,0.002689097,0.9958256,0.00005865198,0.0006356978,0.00000838136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7748207,0.001854648,0.2141412,0.0004294027,0.00009055598,0.0006878779,0.001149446,0.001464566,0.005361674],"genre_scores_gemma":[0.8650948,0.001355216,0.1157168,0.0003035394,0.00002590267,0.0004547783,0.002946572,0.0003723777,0.01373006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001817863,"threshold_uncertainty_score":0.006107748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479790656415038,"score_gpt":0.253387249337821,"score_spread":0.2385893427736706,"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."}}