{"id":"W2781476464","doi":"10.12659/pjr.903491","title":"Magnetic Resonance (MR) Imaging of Vascular Malformations","year":2018,"lang":"en","type":"review","venue":"Polish Journal of Radiology","topic":"Vascular Malformations and Hemangiomas","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Sunnybrook Health Science Centre; University of British Columbia; Health Sciences Centre; St. Thomas Hospital","funders":"","keywords":"Medicine; Magnetic resonance imaging; Radiology; Vascular malformation; Differential diagnosis; Vascular anomaly; Magnetic resonance angiography; Hemodynamics; Modality (human–computer interaction); Angiography; Pathology; Cardiology; Computer science; Artificial intelligence","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":[0.0004561363,0.0009265058,0.001010053,0.004489619,0.0003541569,0.001319178,0.0008914277,0.001121954,0.004012499],"category_scores_gemma":[0.001947975,0.000244768,0.0005297581,0.002779043,0.0009758808,0.001859539,0.0007012686,0.001431954,0.001854338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760496,"about_ca_system_score_gemma":0.001171916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391347,"about_ca_topic_score_gemma":0.001320464,"domain_scores_codex":[0.999622,0.00005482916,0.00007241432,0.00007168304,0.0001440136,0.00003498397],"domain_scores_gemma":[0.9991881,0.0003948329,0.0001511531,0.00003334016,0.0001907559,0.00004184389],"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":[0.00003943838,0.00005042235,0.001892977,0.01665251,0.0001264211,0.003876695,0.00022513,0.0004914155,0.002357595,0.004390559,0.03859681,0.9313],"study_design_scores_gemma":[0.0000116657,0.00004994786,0.005847633,0.01089612,0.0002280269,0.0857337,0.000281234,0.0001926195,0.001043291,0.005149881,0.8905257,0.00004024596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004423631,0.9949799,0.0004944292,0.00050113,0.0002567897,0.000009162289,0.00003372539,0.0000231463,0.00325939],"genre_scores_gemma":[0.004299875,0.9936284,0.0005244256,0.0002720827,0.0004992726,0.000007147351,0.00005330864,0.000005044054,0.0007104246],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004489619,"threshold_uncertainty_score":0.01342314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720964422045071,"score_gpt":0.3153340041935735,"score_spread":0.2881243599731228,"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."}}