{"id":"W2925467614","doi":"10.1093/rheumatology/kez059.010","title":"133. A TEN-YEAR RETROSPECTIVE REVIEW OF TEMPORAL ARTERY BIOPSY LENGTHS IN ALBERTA","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Medicine; Retrospective cohort study; Biopsy; Radiology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001151402,0.0002861313,0.0003261738,0.004654068,0.001177696,0.001026037,0.0008647038,0.0003858646,0.002721209],"category_scores_gemma":[0.004015283,0.0004234246,0.0003115272,0.006889824,0.0005678648,0.0003417476,0.0006999623,0.0002537748,0.0007340848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006662232,"about_ca_system_score_gemma":0.01146914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5745201,"about_ca_topic_score_gemma":0.6899718,"domain_scores_codex":[0.9982544,0.0001435825,0.0002656786,0.000273351,0.0007931094,0.0002698473],"domain_scores_gemma":[0.9928157,0.0008194307,0.003059099,0.0002876173,0.002478881,0.0005392342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001608332,0.00002737178,0.9659582,0.0008541945,0.00006738151,0.008145702,0.00162368,0.00006518413,0.001230153,0.00009115657,0.003690938,0.01808528],"study_design_scores_gemma":[0.000006363935,0.00004384428,0.9833302,0.0005205575,0.00007934556,0.006576354,0.002498682,0.0000719565,0.0002748488,0.00001962325,0.006566295,0.00001192637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486345,0.02275558,0.0004544378,0.0003932839,0.0000784426,0.0003902453,0.01733369,0.00007012611,0.009889659],"genre_scores_gemma":[0.9803608,0.01070277,0.0006766956,0.0004618165,0.00004556588,0.0001264713,0.005821818,0.00002358977,0.001780359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254799,"threshold_uncertainty_score":0.8559712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00714832362528833,"score_gpt":0.2435783191271791,"score_spread":0.2364299955018908,"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."}}