{"id":"W2759436120","doi":"10.1021/jacs.7b07241","title":"In Vitro Selection of Diversely Functionalized Aptamers","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Cancer Institute","keywords":"Aptamer; Chemistry; Nucleic acid; Oligonucleotide; Thrombin; DNA; Combinatorial chemistry; Dissociation constant; Comonomer; Systematic evolution of ligands by exponential enrichment; DNA ligase; Biochemistry; Polymerization; RNA; Polymer; Molecular biology; Organic chemistry; Platelet","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":[0.000347346,0.0004214142,0.0004530883,0.0001861881,0.0001192031,0.0004065605,0.0002515096,0.0002471756,0.0006743335],"category_scores_gemma":[0.0004195391,0.0002023566,0.0002122202,0.0001660565,0.0001435453,0.0001388601,0.0003668023,0.0004807198,0.0006081246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229682,"about_ca_system_score_gemma":0.0001136256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737869,"about_ca_topic_score_gemma":0.0003873249,"domain_scores_codex":[0.9994985,0.0001195828,0.0000493088,0.0001219613,0.0001370338,0.00007363213],"domain_scores_gemma":[0.9998099,0.00005681823,0.00004283421,0.00002912283,0.00002554149,0.00003582333],"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":[0.0000115366,0.000009542462,0.00007123101,0.000008253463,0.000002751657,0.00001960757,0.000006592483,0.0001041256,0.9987603,0.00003060331,0.00001083538,0.0009645809],"study_design_scores_gemma":[0.000002344761,0.00005595729,0.0001338187,8.13068e-7,0.000004517129,0.00007278342,0.000002425498,0.0004887329,0.9984262,0.00001011434,0.0008003386,0.000001910598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530093,0.001419328,0.0430038,0.00009687326,0.00006714227,0.0001059417,0.0002735657,0.0003250734,0.001698987],"genre_scores_gemma":[0.9583102,0.0008662363,0.03587684,0.0001035988,0.00002302459,0.00007435754,0.0006967404,0.0001045975,0.003944361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006743335,"threshold_uncertainty_score":0.002255857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009130548255351726,"score_gpt":0.2776592224245559,"score_spread":0.2685286741692042,"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."}}