{"id":"W2929221527","doi":"10.1093/rheumatology/kez058.030","title":"090. A CLINICAL SCORING SYSTEM FOR RISK STRATIFICATION OF GIANT CELL ARTERITIS","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph's Hospital; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Giant cell arteritis; Risk stratification; Stratification (seeds); Arteritis; Internal medicine; Dermatology; Vasculitis; Disease","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":[0.004872037,0.0006244605,0.0005453413,0.004518269,0.000329946,0.0009206495,0.000799001,0.0004296115,0.005571819],"category_scores_gemma":[0.01043724,0.0001992975,0.0007144582,0.001952933,0.0002994453,0.0008643207,0.000879065,0.0004227641,0.001917537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005710952,"about_ca_system_score_gemma":0.001013707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797705,"about_ca_topic_score_gemma":0.002090288,"domain_scores_codex":[0.9969634,0.001144631,0.0005940226,0.0001949217,0.0009527858,0.0001502073],"domain_scores_gemma":[0.9923826,0.002108927,0.002004225,0.0002962373,0.002740601,0.0004673838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002038466,0.0003124238,0.8328701,0.0004551869,0.0002806663,0.0002879946,0.0001801518,0.001513861,0.002392778,0.0008819456,0.01470519,0.1440812],"study_design_scores_gemma":[0.0005129156,0.002472792,0.9523115,0.0003226118,0.0002984128,0.003762571,0.0003753575,0.0185826,0.001745563,0.001467043,0.01804543,0.0001033296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903327,0.003931119,0.02579281,0.001158861,0.0004694752,0.003231017,0.02327733,0.0009509625,0.03786143],"genre_scores_gemma":[0.9154136,0.0007519544,0.05840318,0.0002519521,0.0002005349,0.001829223,0.01930665,0.00007815212,0.003764849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005571819,"threshold_uncertainty_score":0.02576613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098447465327501,"score_gpt":0.2876975517267828,"score_spread":0.2667130770735078,"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."}}