{"id":"W4385667081","doi":"10.1097/01.hs9.0000972868.69615.42","title":"P1497: MITAPIVAT IMPROVES IRON OVERLOAD IN PATIENTS WITH PYRUVATE KINASE DEFICIENCY WHO ARE REGULARLY TRANSFUSED","year":2023,"lang":"en","type":"article","venue":"HemaSphere","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pyruvate kinase deficiency; Iron deficiency; Anemia; Pyruvate kinase; Internal medicine; Pediatrics; Glycolysis; Metabolism","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":[0.0003398573,0.0002885421,0.0008206118,0.000168916,0.0002114787,0.0004030804,0.0002674048,0.0004415502,0.006019557],"category_scores_gemma":[0.0006438853,0.0001012128,0.0007751007,0.0001978179,0.0001768829,0.0003055143,0.0002277128,0.000873629,0.0007032579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621523,"about_ca_system_score_gemma":0.000445806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000347195,"about_ca_topic_score_gemma":0.0008783667,"domain_scores_codex":[0.9999084,0.00002884846,0.00001328666,0.00001563331,0.00001424351,0.00001966041],"domain_scores_gemma":[0.9997546,0.00005863397,0.00008271349,0.00001029559,0.00002819173,0.00006549861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2023458,0.005499368,0.02484667,0.006622473,0.002227737,0.0007224264,0.0002150087,0.00114783,0.03096045,0.0006218349,0.02919849,0.6955918],"study_design_scores_gemma":[0.3077435,0.2768203,0.27249,0.003358856,0.009470255,0.00781651,0.0004345194,0.005629363,0.02622879,0.002155722,0.08768108,0.0001709959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299526,0.0514953,0.0008048386,0.002776733,0.0006013224,0.0009398047,0.002239033,0.0002659724,0.0109244],"genre_scores_gemma":[0.9786784,0.0123368,0.001191475,0.001926378,0.0005141202,0.0005359268,0.001958912,0.00002381402,0.002834062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006019557,"threshold_uncertainty_score":0.02013743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943849145740466,"score_gpt":0.215263795238764,"score_spread":0.2058253037813593,"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."}}