{"id":"W4385407574","doi":"10.1007/s10067-023-06721-6","title":"Assessment and comparison of probability scores to predict giant cell arteritis","year":2023,"lang":"en","type":"article","venue":"Clinical Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"","keywords":"Giant cell arteritis; Medicine; Receiver operating characteristic; Cohort; Internal medicine; Pre- and post-test probability; Vasculitis; Rheumatology; Prospective cohort study; Arteritis; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004326334,0.00008831373,0.000654268,0.00007601031,0.00004843974,0.000005196751,0.00006276956,0.0002038915,0.0001031378],"category_scores_gemma":[0.0003863304,0.00007110754,0.0001215907,0.0001754057,0.0002987473,0.00001723269,0.00009059891,0.0002861513,0.00008067441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353324,"about_ca_system_score_gemma":0.0001181067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002447171,"about_ca_topic_score_gemma":0.0000154995,"domain_scores_codex":[0.9984208,0.00012611,0.0008248991,0.0003008595,0.0001235943,0.0002037323],"domain_scores_gemma":[0.9987826,0.0005185289,0.0001063693,0.0002830975,0.00007874598,0.0002306438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003695897,0.000471894,0.9773315,0.0002046807,0.00007796288,0.00002661753,0.000119493,0.000007131388,0.0002022462,0.00222375,0.009793254,0.009504518],"study_design_scores_gemma":[0.00160101,0.001064181,0.9928623,0.000217131,0.00006206569,0.00007237973,0.0001252989,0.001203622,0.00005897446,0.001624154,0.001039878,0.00006895362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936194,0.0001709209,0.0003355846,0.003820146,0.0003583995,0.0004137574,0.00002628473,0.00008401235,0.001171511],"genre_scores_gemma":[0.9972386,0.0004894804,0.001968068,0.0001219952,0.00001181965,0.00003585845,0.0000474421,0.000009503793,0.0000772811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553086,"threshold_uncertainty_score":0.2899681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0590144894921955,"score_gpt":0.408347786248932,"score_spread":0.3493332967567365,"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."}}