{"id":"W2159581561","doi":"10.1186/1742-4682-11-39","title":"Bayesian approach for the estimation of cyclosporine area under the curve using limited sampling strategies in pediatric hematopoietic stem cell transplantation","year":2014,"lang":"en","type":"article","venue":"Theoretical Biology and Medical Modelling","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Pfizer","keywords":"Hematopoietic stem cell transplantation; Stem cell; Transplantation; Bayesian probability; Sampling (signal processing); Estimation; Biology; Computational biology; Haematopoiesis; Hematopoietic cell; Computer science; Medicine; Statistics; Mathematics; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004555714,0.0007826239,0.001209717,0.00120779,0.0003378277,0.0008411984,0.001449701,0.000873446,0.001098437],"category_scores_gemma":[0.01371064,0.0008636008,0.0009257116,0.0005195851,0.0006002992,0.0008689599,0.0009200747,0.001055392,0.0002840537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009645422,"about_ca_system_score_gemma":0.001986672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166537,"about_ca_topic_score_gemma":0.007653421,"domain_scores_codex":[0.9985978,0.0009187313,0.00006753461,0.0001388901,0.0002110772,0.00006605522],"domain_scores_gemma":[0.9930347,0.005655343,0.0005248592,0.0001396059,0.000512004,0.0001334107],"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":[0.000198265,0.00007124311,0.004928212,0.00009750045,0.0001186572,0.0001206836,0.0001063454,0.934146,0.001522895,0.006198759,0.0003494507,0.05214192],"study_design_scores_gemma":[0.00001027015,0.00002754301,0.0005015073,0.000008395202,0.00001017264,0.00001236294,0.000006492198,0.9971648,0.0002495727,0.001868884,0.0001331735,0.000006877574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05272034,0.0004177439,0.9458356,0.0001941187,0.000009658982,0.00008302676,0.00008239919,0.0001830407,0.000474019],"genre_scores_gemma":[0.6911719,0.0008597478,0.304784,0.0001846235,0.00006791115,0.0005476516,0.0006583779,0.0001048331,0.001620992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01166537,"threshold_uncertainty_score":0.02409321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03940673141358391,"score_gpt":0.3096279104733606,"score_spread":0.2702211790597767,"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."}}