{"id":"W2561626646","doi":"10.1002/art.39847","title":"Temporal Trends of Venous Thromboembolism Risk Before and After Diagnosis of Giant Cell Arteritis","year":2016,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; University of British Columbia","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Giant cell arteritis; Medicine; Confounding; Cohort; Internal medicine; Relative risk; Population; Glucocorticoid; Cohort study; Venous thromboembolism; Vasculitis; Thrombosis; Disease; Confidence interval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008295398,0.0001541904,0.0007857741,0.0001992473,0.00005426044,0.000003880121,0.00005697922,0.0002117281,0.001000934],"category_scores_gemma":[0.00003952592,0.0001116199,0.0001616753,0.0001357071,0.0005236295,0.00007737207,0.00004509901,0.0001256767,0.00002356561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157388,"about_ca_system_score_gemma":0.00004413432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003896136,"about_ca_topic_score_gemma":0.000546059,"domain_scores_codex":[0.9987428,0.00007010469,0.0005174918,0.0002645915,0.0001292743,0.0002757975],"domain_scores_gemma":[0.9992006,0.00008362173,0.000205149,0.0002940843,0.00008601195,0.0001305059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005527271,0.0004709437,0.6856654,0.0001165376,0.0002039986,0.0002281244,0.001058633,7.661174e-8,0.0008228859,0.001179493,0.0009178748,0.3092807],"study_design_scores_gemma":[0.005358733,0.00163283,0.9823563,0.001452517,0.0001667538,0.002173822,0.0001376909,0.000004551383,0.002689612,0.002313514,0.001540666,0.000172981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907194,0.006737774,0.0000431745,0.001232449,0.000181923,0.0001287918,0.000339094,0.00003043205,0.000586965],"genre_scores_gemma":[0.9754404,0.02393042,0.000368516,0.00003585829,0.00001429753,0.00007086009,0.00002544684,0.00002304697,0.00009112836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3091078,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003903410845953471,"score_gpt":0.2113895046524852,"score_spread":0.2074860938065317,"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."}}