{"id":"W4283524922","doi":"10.1111/jth.15803","title":"A personalized limited sampling approach to better estimate terminal half‐life of FVIII concentrates","year":2022,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University; University of Waterloo","funders":"","keywords":"Terminal (telecommunication); Sampling (signal processing); Computational biology; Computer science; Medicine; Statistics; Biology; Mathematics; Telecommunications","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":[0.002445104,0.0005329321,0.001158202,0.0006676309,0.000376364,0.001490273,0.001270531,0.0008833159,0.001503858],"category_scores_gemma":[0.00600844,0.0005062302,0.0006649453,0.0005244219,0.0002931819,0.000824005,0.0008146387,0.001030376,0.0005602233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000481764,"about_ca_system_score_gemma":0.000712591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908219,"about_ca_topic_score_gemma":0.00208271,"domain_scores_codex":[0.9988884,0.0004924964,0.00004213222,0.0002928268,0.0002254471,0.00005866933],"domain_scores_gemma":[0.9982444,0.0009853543,0.0001663797,0.0003433578,0.0002044613,0.00005612121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003717435,0.0007714557,0.08491244,0.000522844,0.0009212939,0.0007411362,0.0004922446,0.3534145,0.121053,0.009679688,0.006193612,0.4175804],"study_design_scores_gemma":[0.00006922243,0.0003530931,0.01052666,0.00002911599,0.0002214446,0.000473207,0.00004452209,0.9595565,0.02025411,0.005324104,0.003102546,0.00004547127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1369037,0.001090172,0.8582339,0.0002786765,0.00007598208,0.000121765,0.0006417283,0.0008489977,0.001805147],"genre_scores_gemma":[0.8022276,0.0005990832,0.1915606,0.0006178945,0.0001727445,0.0002644912,0.001468191,0.000205087,0.00288428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445104,"threshold_uncertainty_score":0.01293111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1378275698080083,"score_gpt":0.3838271097185676,"score_spread":0.2459995399105593,"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."}}