{"id":"W1967386353","doi":"10.1016/j.jvir.2013.03.035","title":"Cone-beam CT: An Additional Imaging Tool in the Interventional Treatment and Management of Low-flow Vascular Malformations","year":2013,"lang":"en","type":"article","venue":"Journal of Vascular and Interventional Radiology","topic":"Vascular Malformations and Hemangiomas","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Dalhousie University; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Radiology; Cone beam ct; Medical physics; Computed tomography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006933844,0.0001415751,0.000358323,0.0003182621,0.00007947216,0.0000347809,0.0001063308,0.00003702524,0.001877084],"category_scores_gemma":[0.00002711337,0.00009475759,0.0006270363,0.0001088092,0.0001450676,0.0004911841,0.0000369076,0.0001416966,0.000007282244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006555304,"about_ca_system_score_gemma":0.00003599538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002116906,"about_ca_topic_score_gemma":0.000006653647,"domain_scores_codex":[0.9985024,0.0001381008,0.0008049967,0.000128712,0.0002698021,0.0001559857],"domain_scores_gemma":[0.9992397,0.00006575391,0.0002678175,0.0001667174,0.0001945494,0.00006539012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001377078,0.03459741,0.2162984,0.009710848,0.03725195,0.001674951,0.008208121,0.00382867,0.002650908,0.3334459,0.06432302,0.2866328],"study_design_scores_gemma":[0.006883569,0.001821056,0.961436,0.001188319,0.0005960272,0.008139512,0.001651881,0.005329058,0.00005349167,0.004250524,0.008457579,0.0001929271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888819,0.005454684,0.003947682,0.0008471191,0.00008916315,0.0004550058,0.00007242404,0.000004966449,0.0002470651],"genre_scores_gemma":[0.9949275,0.0007448685,0.003617775,0.0001430987,0.0001019027,0.00007354568,0.0003343829,0.000009486321,0.00004739802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7451376,"threshold_uncertainty_score":0.9990354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327264226536089,"score_gpt":0.2693924935689937,"score_spread":0.2561198513036328,"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."}}