{"id":"W4220926328","doi":"10.1111/bjh.18145","title":"Platelet degranulation and bleeding phenotype in a large cohort of Von Willebrand disease patients","year":2022,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"Fonds de dotation CSL Behring pour la recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bayer Schering; European Hematology Association; Swedish Orphan Biovitrum; CSL Behring; Baxter International; Landsteiner Foundation for Blood Transfusion Research; Novo Nordisk; Sanofi","keywords":"Von Willebrand factor; Von Willebrand disease; Platelet; Degranulation; Immunology; Medicine; Phenotype; Platelet factor 4; Coagulopathy; Cohort; Internal medicine; Biology; Genetics; Gene; Receptor","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":[0.0003616564,0.000334061,0.0005351747,0.0009434957,0.0006051392,0.000743366,0.0002577369,0.0005628075,0.001768202],"category_scores_gemma":[0.001503279,0.0002938565,0.0003634818,0.0007177052,0.0003128699,0.0004476893,0.0004703931,0.0006354071,0.0004158708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901711,"about_ca_system_score_gemma":0.0001579327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266704,"about_ca_topic_score_gemma":0.0008373277,"domain_scores_codex":[0.9996248,0.00006767541,0.00003391671,0.0001443033,0.0000773176,0.0000519015],"domain_scores_gemma":[0.9994655,0.00009997904,0.0001285166,0.00006737724,0.00005759861,0.0001810162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005069542,0.00008714044,0.991984,0.00001467458,0.0001027749,0.001548406,0.000231899,0.00004454312,0.002495831,0.00004963067,0.0003631451,0.002571055],"study_design_scores_gemma":[0.0000259842,0.0002468117,0.993749,0.000007023282,0.00005794849,0.004875959,0.0001801801,0.0001250288,0.0001421718,0.0000558721,0.0005242925,0.000009629994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991139,0.0002887455,0.00006911075,0.00003693299,0.000007113425,0.000008261213,0.0001770751,0.000003515478,0.0002953607],"genre_scores_gemma":[0.9990981,0.0001499552,0.00008117234,0.00003877588,0.00002521073,0.00001247038,0.0004016219,0.000003837183,0.000188834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001768202,"threshold_uncertainty_score":0.005915225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006303401762602738,"score_gpt":0.2324116702544911,"score_spread":0.2261082684918884,"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."}}