{"id":"W1541366287","doi":"10.1002/jmri.24216","title":"R2* as a surrogate measure of ferriscan iron quantification in thalassemia","year":2013,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Mount Sinai Hospital; St. John’s Health Sciences Centre; Memorial University of Newfoundland","funders":"U.S. Food and Drug Administration","keywords":"Measure (data warehouse); Thalassemia; Beta thalassemia; Medicine; Computer science; Internal medicine; Data mining","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":[0.002385417,0.0004084253,0.0003970191,0.0006938564,0.0001238946,0.0004526829,0.0002541564,0.0003764527,0.0005757078],"category_scores_gemma":[0.006660077,0.0001474333,0.000150945,0.0003940866,0.0003879836,0.0003012042,0.0003274216,0.0004602256,0.0003238629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009557,"about_ca_system_score_gemma":0.0001909178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990027,"about_ca_topic_score_gemma":0.0003492649,"domain_scores_codex":[0.9991717,0.0004146411,0.00007620225,0.0001325587,0.0001683045,0.00003657923],"domain_scores_gemma":[0.9966521,0.001391152,0.001289658,0.0002557278,0.0002505009,0.0001609292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001448697,0.00009660418,0.9474429,0.0001247125,0.0001431651,0.0004061517,0.0002042578,0.002705543,0.01693591,0.0002612846,0.0004630028,0.02976789],"study_design_scores_gemma":[0.00006771,0.002146577,0.9314541,0.00007971305,0.0001927286,0.007380019,0.0002371776,0.03280614,0.02273501,0.0007912837,0.002062324,0.00004719748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893373,0.002223957,0.006994998,0.0001142063,0.00001207253,0.00001536116,0.0001543851,0.00006941088,0.001078352],"genre_scores_gemma":[0.9976082,0.0001433662,0.001973598,0.00002406006,0.000009066746,0.000008716037,0.00009572325,0.000008015313,0.0001292715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002385417,"threshold_uncertainty_score":0.01261544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008634137532400192,"score_gpt":0.2504671862642394,"score_spread":0.2418330487318392,"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."}}