{"id":"W6921586488","doi":"10.1021/ac201242r.s001","title":"Protein Labeling Enhances Aptamer Selection by Methods of Kinetic Capillary Electrophoresis","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Aptamer; Capillary electrophoresis; Electrophoresis; Selection (genetic algorithm); Protein detection; DNA; Gel electrophoresis; Target protein","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006643774,0.0004576787,0.0003149756,0.0004123812,0.0001891961,0.0005183017,0.0005260119,0.0004843373,0.0009397706],"category_scores_gemma":[0.0008033874,0.0002552709,0.0002208587,0.0003042244,0.0005332979,0.0004600887,0.0003140692,0.0006358678,0.0004713248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273214,"about_ca_system_score_gemma":0.0002135208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003666077,"about_ca_topic_score_gemma":0.0004595704,"domain_scores_codex":[0.9993677,0.0001786314,0.00004807545,0.0001541181,0.0001865439,0.00006497404],"domain_scores_gemma":[0.9995093,0.0002567761,0.00007698906,0.00004930378,0.00007406635,0.00003348715],"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":[0.00001486479,0.000008750794,0.00004611277,0.00003017624,0.000001503725,0.00001662899,0.00000905795,0.0000534639,0.9978225,0.0002782879,0.00004474879,0.001673855],"study_design_scores_gemma":[0.00000409953,0.00002928094,0.0003380678,0.000002837166,0.000003211712,0.0001243062,0.000002701285,0.001598007,0.9962612,0.00005729885,0.001573264,0.000005727298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5657378,0.003630748,0.4220573,0.000576064,0.0001528841,0.0002779291,0.0001964574,0.00139922,0.005971664],"genre_scores_gemma":[0.7694557,0.002225777,0.2224082,0.0002956885,0.00005271014,0.0002408433,0.0002749386,0.0002123917,0.004833754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009397706,"threshold_uncertainty_score":0.003513634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027143941043602,"score_gpt":0.2424298556837706,"score_spread":0.2321584162733346,"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."}}