{"id":"W3197874686","doi":"10.1182/bloodadvances.2021005096","title":"Population pharmacokinetic modeling of factor concentrates in hemophilia: an overview and evaluation of best practice","year":2021,"lang":"en","type":"review","venue":"Blood Advances","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Swedish Orphan Biovitrum; Radboud Universitair Medisch Centrum; Maastricht Universitair Medisch Centrum; Amsterdam University Medical Centers; Great Ormond Street Hospital for Children; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Maastricht; Radboud Universiteit; Imperial College Healthcare NHS Trust; Imperial College London; Cardiff University; Universitair Medisch Centrum Groningen; CSL Behring; Leids Universitair Medisch Centrum; Universiteit Leiden; Institute of Infection and Immunity; Royal Free London NHS Foundation Trust","keywords":"Medicine; Documentation; Population; Dosing; Covariate; Data collection; Best practice; Medical physics; Statistics; Computer science; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0325103,0.001710021,0.003295406,0.004618878,0.0003699264,0.003984726,0.004614594,0.00244607,0.002662204],"category_scores_gemma":[0.07679015,0.001200448,0.004520573,0.004549181,0.001227498,0.003222519,0.001794201,0.003442587,0.00147061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00304779,"about_ca_system_score_gemma":0.006739654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009963024,"about_ca_topic_score_gemma":0.005466202,"domain_scores_codex":[0.9832668,0.008974432,0.002933316,0.001346438,0.003318346,0.0001606861],"domain_scores_gemma":[0.9281802,0.05709633,0.003708414,0.002193076,0.00845346,0.0003684323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002596076,0.0001329717,0.003329475,0.04061528,0.001253927,0.0002381782,0.0004493771,0.02631618,0.0007138047,0.01396998,0.02073188,0.8919894],"study_design_scores_gemma":[0.0002944952,0.001217296,0.008642452,0.1115806,0.005568244,0.002315673,0.0006016726,0.05587612,0.00580224,0.04880162,0.7587668,0.0005328727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002680867,0.9068266,0.0793188,0.005429483,0.0003877165,0.0002466359,0.0009471471,0.0005187275,0.003643907],"genre_scores_gemma":[0.02739388,0.8835267,0.08442344,0.001557042,0.0005004206,0.0004163595,0.001399288,0.0002662407,0.000516644],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0325103,"threshold_uncertainty_score":0.1719329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.242744319576491,"score_gpt":0.513110085561485,"score_spread":0.270365765984994,"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."}}