{"id":"W2424906784","doi":"10.1016/j.tmrv.2016.05.004","title":"Selection and Characterization of a DNA Aptamer Inhibiting Coagulation Factor XIa","year":2016,"lang":"en","type":"article","venue":"Transfusion Medicine Reviews","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Canadian Blood Services","funders":"","keywords":"Aptamer; Selection (genetic algorithm); Coagulation; DNA; Computational biology; Chemistry; Molecular biology; Biology; Genetics; Medicine; Computer science; Internal medicine; Artificial intelligence","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":[0.0002499448,0.0002578803,0.0001986776,0.0002324407,0.000131896,0.0002967876,0.0002763928,0.0004496552,0.00095841],"category_scores_gemma":[0.0004741772,0.0001404484,0.0002021589,0.0001486833,0.0001691349,0.0001609698,0.0001804167,0.0004747228,0.0004603921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611639,"about_ca_system_score_gemma":0.0001796084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004312768,"about_ca_topic_score_gemma":0.0004476025,"domain_scores_codex":[0.9997557,0.00004075775,0.0000167355,0.0000546313,0.00009209924,0.00004007434],"domain_scores_gemma":[0.9998398,0.0000445371,0.00003267073,0.0000178089,0.00003221733,0.00003305552],"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":[0.00002302123,0.00002257727,0.00006372693,0.000009219101,0.000002604015,0.00002250216,0.00001134187,0.0001371017,0.9982083,0.00004316736,0.00002056535,0.001435891],"study_design_scores_gemma":[0.00001364013,0.0001998988,0.0006649329,0.000002042538,0.00000903956,0.0001843593,0.000009430335,0.001053343,0.9965928,0.0000240776,0.001242102,0.000004319343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673227,0.001029785,0.0283473,0.0002575898,0.00004860748,0.0002211767,0.0002435427,0.0001073043,0.002421977],"genre_scores_gemma":[0.9715575,0.0006610994,0.02094774,0.0001809584,0.00001905946,0.00007501472,0.0008465322,0.0000502259,0.00566175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00095841,"threshold_uncertainty_score":0.003206193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854362344885802,"score_gpt":0.2938357632211359,"score_spread":0.2552921397722779,"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."}}