{"id":"W2582786483","doi":"10.1182/blood.v126.23.2168.2168","title":"Quantitative MRI of Hemodynamic Compromise in Children with Sickle Cell Disease: New Insights into Pathophysiology","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Pathophysiology; Stroke (engine); Cerebral blood flow; Stenosis; Cardiology; Internal medicine; Magnetic resonance imaging; Acute chest syndrome; Hemodynamics; Population; Disease; Sickle cell anemia; Radiology","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":[0.0005479217,0.0003173889,0.0002719484,0.00092278,0.00009568351,0.0004067464,0.0002498723,0.0003772615,0.0006684147],"category_scores_gemma":[0.001158709,0.0001494013,0.0001303994,0.0003527548,0.000382916,0.0005317542,0.000244612,0.0003199787,0.0001045755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238142,"about_ca_system_score_gemma":0.0001695615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006287876,"about_ca_topic_score_gemma":0.0008262384,"domain_scores_codex":[0.999863,0.00004823157,0.00001195542,0.00002800778,0.00002957272,0.00001926326],"domain_scores_gemma":[0.9995102,0.0001450544,0.0001905341,0.00002426029,0.00007170586,0.00005830852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004377001,0.0001137445,0.8618815,0.0003768959,0.0001254937,0.004185212,0.0004612366,0.001049117,0.06172078,0.0008481081,0.001562083,0.06723811],"study_design_scores_gemma":[0.00001968265,0.0004228556,0.9752198,0.0001500453,0.00007007275,0.01392388,0.0004477501,0.002827574,0.004155627,0.0006694789,0.002064962,0.00002825019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810051,0.01157975,0.004637514,0.0005717114,0.00003314984,0.00001877478,0.000253678,0.00005780465,0.001842568],"genre_scores_gemma":[0.9919614,0.003056152,0.004534244,0.00008594662,0.00009840409,0.00001402953,0.00009593663,0.00001005877,0.0001437942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00092278,"threshold_uncertainty_score":0.00289768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007297445188582315,"score_gpt":0.2279036935838153,"score_spread":0.220606248395233,"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."}}