{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005617391,0.0006923454,0.0004307324,0.001782661,0.0002044706,0.0009399139,0.0004884464,0.0005264395,0.00108415],"category_scores_gemma":[0.01642798,0.0002621623,0.0004392325,0.0005445381,0.0003606995,0.0007002478,0.0005782827,0.0003964877,0.0005914467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158506,"about_ca_system_score_gemma":0.0002656357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000420393,"about_ca_topic_score_gemma":0.0004092824,"domain_scores_codex":[0.9975649,0.001204671,0.000203227,0.0002909558,0.0006068014,0.0001293774],"domain_scores_gemma":[0.9860827,0.007435296,0.003326764,0.0006235107,0.001844496,0.0006872073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005963946,0.00005523078,0.9932967,0.00001244395,0.00009920894,0.00002072692,0.00002796889,0.0003609547,0.0002540265,0.00001583666,0.00007904461,0.005181468],"study_design_scores_gemma":[0.0001325092,0.002135867,0.9789485,0.00002051335,0.0001595437,0.0007962509,0.0001216916,0.01588308,0.001180813,0.0001744562,0.0004179773,0.00002865152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973654,0.0002638608,0.001529522,0.00003082489,0.00001511969,0.00003044305,0.000182743,0.00002815877,0.0005540709],"genre_scores_gemma":[0.9980464,0.00006186221,0.001432081,0.00001034024,0.00002060549,0.00002438244,0.000300006,0.000004680209,0.00009969294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005617391,"threshold_uncertainty_score":0.02970797,"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."}}