{"id":"W3209247278","doi":"10.1002/rth2.12599","title":"External qualification of the Web‐Accessible Population Pharmacokinetic Service–Hemophilia (WAPPS‐Hemo) models for octocog alfa using real patient data","year":2021,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Bayer (Canada); McMaster University; University of Waterloo","funders":"Bayer HealthCare","keywords":"Statistics; Population; Sampling (signal processing); Bayesian probability; Data set; Sample size determination; Consistency (knowledge bases); Sample (material); Cross-validation; Mathematics; Medicine; Data mining; Econometrics; Computer science; Artificial intelligence; Chemistry","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":[0.01463317,0.0008649119,0.0006531619,0.0004579847,0.00026405,0.001266761,0.0009858659,0.0006916453,0.002917816],"category_scores_gemma":[0.03156435,0.0003702517,0.001129943,0.0004331108,0.0003771091,0.0005867195,0.0007936229,0.001202449,0.001078182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009561654,"about_ca_system_score_gemma":0.002077597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004264596,"about_ca_topic_score_gemma":0.002641516,"domain_scores_codex":[0.9964048,0.002184428,0.0002152655,0.0005376333,0.0005534581,0.0001046094],"domain_scores_gemma":[0.9772398,0.01577565,0.001784116,0.002599039,0.002336425,0.0002649167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005530772,0.001280421,0.201583,0.0006005379,0.001195585,0.0004596672,0.0005378623,0.6379545,0.009071624,0.00262183,0.01393902,0.1252252],"study_design_scores_gemma":[0.0004891093,0.001322965,0.05325905,0.0001441469,0.0001853933,0.000378568,0.000104402,0.9255072,0.008628464,0.001881746,0.008025872,0.00007307259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8406367,0.0003597319,0.1382309,0.0005108655,0.0000735622,0.001076945,0.01195254,0.001547262,0.005611659],"genre_scores_gemma":[0.9561006,0.0001199679,0.02915799,0.0001918813,0.00001840689,0.0005928738,0.0128184,0.0001908897,0.0008090207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463317,"threshold_uncertainty_score":0.07738858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5007794712596295,"score_gpt":0.5381722500941685,"score_spread":0.03739277883453895,"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."}}