{"id":"W2744682589","doi":"10.1007/s00247-017-3885-y","title":"Clinical and sonographic features of pediatric soft-tissue vascular anomalies part 1: classification, sonographic approach and vascular tumors","year":2017,"lang":"en","type":"review","venue":"Pediatric Radiology","topic":"Vascular Malformations and Hemangiomas","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Radiology; Capillary hemangioma; Hemangioma; Pyogenic granuloma; Soft tissue; Vascular anomaly; Rhabdomyosarcoma; Vascular Tumors; Angioma; Neuroradiology; Vascular malformation; Angiosarcoma; Ultrasound; Lesion; Vascular disease; Sarcoma; Pathology; Surgery","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002305307,0.0007931658,0.004545785,0.001844702,0.0004021966,0.00007183884,0.0004808338,0.001380487,0.00001942902],"category_scores_gemma":[0.0005428253,0.0006281264,0.001622637,0.0008689818,0.0009391477,0.000175928,0.0002162695,0.001018817,0.00001094028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002304831,"about_ca_system_score_gemma":0.0005023741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002137964,"about_ca_topic_score_gemma":0.000002888775,"domain_scores_codex":[0.9950702,0.0006679349,0.002068954,0.001157239,0.0003968988,0.0006388318],"domain_scores_gemma":[0.9956973,0.0003849747,0.001622766,0.001627161,0.0002348283,0.0004329842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003246106,0.0006689507,0.3812478,0.071985,0.003446188,0.00005388797,0.0002851379,0.00000112233,1.511413e-7,0.002380702,0.008036586,0.531862],"study_design_scores_gemma":[0.001657388,0.0004559404,0.1531916,0.0004207058,0.01991115,0.001018994,0.00006688434,0.00003713265,3.154821e-8,0.0001276822,0.8223076,0.0008048725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005851963,0.9911919,0.0003066677,0.0000507457,0.0003418865,0.001772649,0.00005226316,0.00008744394,0.0003444717],"genre_scores_gemma":[0.001305266,0.9925803,0.00212534,0.00002833101,0.002998826,0.0002860679,0.000500295,0.00009549348,0.00008006289],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.814271,"threshold_uncertainty_score":0.999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08971648812474049,"score_gpt":0.36080779019633,"score_spread":0.2710913020715895,"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."}}