{"id":"W4291473316","doi":"10.1186/s41824-022-00136-3","title":"Combined modality PET/MR for the detection of severe large vessel vasculitis","year":2022,"lang":"en","type":"article","venue":"European Journal of Hybrid Imaging","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Circle Cardiovascular Imaging; CryoLife","keywords":"Medicine; Erythrocyte sedimentation rate; Positron emission tomography; Magnetic resonance imaging; Vasculitis; Nuclear medicine; Retrospective cohort study; Radiology; Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567507,0.0003739858,0.0004152063,0.001353941,0.0001853167,0.0005545076,0.0003459423,0.0004022277,0.001505599],"category_scores_gemma":[0.002101173,0.0002650796,0.0003474963,0.0004622884,0.0002983075,0.0004236687,0.0003581164,0.0003310049,0.0004173185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992561,"about_ca_system_score_gemma":0.0002149289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004154649,"about_ca_topic_score_gemma":0.001127869,"domain_scores_codex":[0.9995033,0.0002050014,0.00007316245,0.00007920546,0.00008938408,0.00004998323],"domain_scores_gemma":[0.9984486,0.0005157412,0.000514627,0.00009572544,0.0002307574,0.0001943941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000416459,0.00003990327,0.9857844,0.00004384682,0.00005537975,0.0004137843,0.00002237585,0.00006518718,0.003836395,0.00001190889,0.0001336236,0.009176863],"study_design_scores_gemma":[0.00003430696,0.0008424179,0.9796351,0.00006206579,0.0002045863,0.01388777,0.0001422853,0.001818485,0.002566127,0.000054049,0.0007404714,0.00001246573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934344,0.004124133,0.001015411,0.00008699149,0.00001357547,0.00004089881,0.0001754641,0.00002330566,0.001085729],"genre_scores_gemma":[0.9978074,0.0007117619,0.001223567,0.00002845318,0.00002535496,0.00001222516,0.0001123111,0.000002813644,0.00007607085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001567507,"threshold_uncertainty_score":0.008289874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009605263785442386,"score_gpt":0.2311916926716294,"score_spread":0.221586428886187,"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."}}