{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008404944,0.0002254945,0.0004094517,0.0001057516,0.00007749259,0.00001347535,0.00007721996,0.0001630715,0.0003054519],"category_scores_gemma":[0.00004719477,0.0001758298,0.00008502707,0.0006915345,0.00008462998,0.0001220246,0.0000228122,0.0002551639,0.0002158005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000069625,"about_ca_system_score_gemma":0.00006703979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006800616,"about_ca_topic_score_gemma":0.0001724138,"domain_scores_codex":[0.9985389,0.00004475184,0.0002647475,0.0004429164,0.0002935041,0.0004151557],"domain_scores_gemma":[0.9992536,0.00003888296,0.00008541199,0.0003948725,0.00009459695,0.0001326913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003243528,0.001123189,0.9040414,0.001152491,0.00005565785,0.0003644617,0.00214951,0.00008352218,0.06573689,0.0003041198,0.008962397,0.01278283],"study_design_scores_gemma":[0.006416993,0.001321022,0.986924,0.000376185,0.0000417079,0.000002921007,0.0009123398,0.0000621405,0.00164832,0.00006974719,0.001973187,0.0002514618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967728,0.0002221194,0.00002681722,0.0004178479,0.0002058483,0.0005267801,0.00001701472,0.0001953059,0.001615488],"genre_scores_gemma":[0.9947824,0.00006706807,0.0001739661,0.0005839735,0.0000731792,0.00004299209,0.0001022987,0.00004766583,0.004126413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08288258,"threshold_uncertainty_score":0.717013,"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."}}