{"id":"W3164198080","doi":"10.1136/annrheumdis-2021-eular.3550","title":"OP0048 DIAGNOSING AXIAL SPONDYLOARTHRITIS: ESTIMATION OF THE DISEASE PROBABILITY IN PATIENTS WITH A PRIORI DIFFERENT LIKELIHOODS OF THE DIAGNOSIS","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Valeant Pharmaceuticals International; Regeneron Pharmaceuticals; University of Pennsylvania; AbbVie; Celgene; Momenta Pharmaceuticals; Gilead Sciences; Amgen; Pfizer; University of Washington; Eli Lilly and Company; Bristol-Myers Squibb; Saint Joseph University; GlaxoSmithKline","keywords":"Medicine; Axial spondyloarthritis; Context (archaeology); Pre- and post-test probability; Calculator; Disease; Diagnostic test; Physical therapy; Internal medicine; Pediatrics; Sacroiliitis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005517594,0.0007892813,0.0007919887,0.001417971,0.0004408915,0.00144322,0.0008400904,0.001606623,0.004943818],"category_scores_gemma":[0.02224038,0.0004139703,0.001047819,0.0007516132,0.0006287888,0.001230726,0.001178367,0.001012871,0.0007750257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002786511,"about_ca_system_score_gemma":0.000511072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008827136,"about_ca_topic_score_gemma":0.0007637474,"domain_scores_codex":[0.9966292,0.001937644,0.0002866971,0.0004037298,0.0004192035,0.0003235631],"domain_scores_gemma":[0.9862102,0.01048803,0.001633594,0.0005521076,0.0004786668,0.0006375371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002912808,0.0001284907,0.9864321,0.00004332379,0.0002190399,0.0003241142,0.00008802336,0.0007987128,0.0007189711,0.0002503681,0.0002010621,0.007882874],"study_design_scores_gemma":[0.0003656198,0.002189408,0.9526215,0.00007227848,0.0006292301,0.003936857,0.0004442533,0.03419629,0.001189634,0.002926139,0.001375841,0.00005294506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943473,0.0004208061,0.002480528,0.0003051196,0.00002116732,0.00003109873,0.0004060065,0.00002218697,0.00196572],"genre_scores_gemma":[0.9979531,0.0000772797,0.001250594,0.0000420334,0.00002955192,0.00001751229,0.0004029328,0.000004449867,0.0002225294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005517594,"threshold_uncertainty_score":0.02918011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098951209110831,"score_gpt":0.2683597334123298,"score_spread":0.2473702213212215,"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."}}