{"id":"W3129105568","doi":"10.1182/bloodadvances.2020002971","title":"Molecular coevolution of coagulation factor VIII and von Willebrand factor","year":2021,"lang":"en","type":"article","venue":"Blood Advances","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Coevolution; Von Willebrand factor; Biology; In silico; Coagulation; Computational biology; Recombinant DNA; Sequence (biology); Gene; Molecular evolution; Genetics; Evolutionary biology; Phylogenetics; Immunology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000102385,0.00008141011,0.0002057318,0.00002961314,0.00002921554,0.000005235871,0.00001319054,0.00003970148,0.00004167888],"category_scores_gemma":[0.00003629888,0.00006846619,0.0000362087,0.00007865529,0.00003330582,0.0001042315,0.00001086058,0.00003430141,0.000001744884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006972807,"about_ca_system_score_gemma":0.00002743251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007461203,"about_ca_topic_score_gemma":0.00001006346,"domain_scores_codex":[0.9994992,0.00001357174,0.0001206542,0.0001486945,0.0001265664,0.00009130043],"domain_scores_gemma":[0.9997316,0.00002139043,0.00005629157,0.00009035243,0.00006136655,0.00003897667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001929777,0.0009244683,0.4756527,0.0003600873,0.0004239367,0.0004965852,0.0003631603,0.00003464018,0.4618141,0.0003816099,0.00001546808,0.05934029],"study_design_scores_gemma":[0.006190527,0.0004109529,0.4593128,0.0001693865,0.0002936925,0.0001647726,0.0001513251,0.000128226,0.5280538,0.000766055,0.004183677,0.0001747464],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798732,0.01916296,0.000183106,0.0001052753,0.00004544244,0.0001258214,0.00003862559,0.00001588396,0.0004496813],"genre_scores_gemma":[0.9983237,0.0009563284,0.0005149652,0.00003807006,0.000009408414,0.000003616442,0.00005173621,0.000007245512,0.00009496073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06623971,"threshold_uncertainty_score":0.279197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765449688569122,"score_gpt":0.2588120911024935,"score_spread":0.2500466414139244,"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."}}