{"id":"W2132954637","doi":"10.1016/j.ppedcard.2006.07.010","title":"Magnetic resonance evaluation of pulmonary circulation in children","year":2006,"lang":"en","type":"article","venue":"Progress in Pediatric Cardiology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"Medicine; Hemodynamics; Blood flow; Radiology; Pulmonary artery; Magnetic resonance imaging; Phase contrast microscopy; Cardiology; Lung; Circulation (fluid dynamics); Pulmonary vasculature; Internal medicine","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":[0.0004543835,0.0005442867,0.000474638,0.001477463,0.0005260286,0.0003661072,0.0004634247,0.0009471759,0.001486034],"category_scores_gemma":[0.002726949,0.0003139455,0.0002660476,0.0005752381,0.0007559998,0.0006641273,0.000315322,0.0008922241,0.0003266755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404171,"about_ca_system_score_gemma":0.0007257723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003890318,"about_ca_topic_score_gemma":0.002812063,"domain_scores_codex":[0.9996805,0.00006043036,0.00004695906,0.00005751098,0.00005314733,0.0001014259],"domain_scores_gemma":[0.9993692,0.0002122438,0.0001194633,0.00002369132,0.0001059157,0.0001694193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007994875,0.0003891195,0.8178215,0.0003078347,0.00006406273,0.1451378,0.0005281087,0.000513968,0.01353173,0.0004955869,0.002425711,0.01798507],"study_design_scores_gemma":[0.0001002233,0.001192639,0.7676353,0.0002085988,0.0001231042,0.2178113,0.0008946877,0.0009096445,0.007499706,0.0003349863,0.003252358,0.0000374556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865264,0.003887802,0.0006092122,0.0009743069,0.00006031273,0.00005761396,0.0003782939,0.00004280163,0.007463196],"genre_scores_gemma":[0.9942906,0.003627939,0.0007398,0.0002808587,0.0001792529,0.00003055848,0.0002275654,0.00001589677,0.0006075718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003890318,"threshold_uncertainty_score":0.007735312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205288666688654,"score_gpt":0.2841146860159574,"score_spread":0.2720617993490708,"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."}}