{"id":"W4390060215","doi":"10.25259/ijmsr_20_2023","title":"To study magnetic resonance imaging findings and inflammatory markers in inflammatory sacroiliitis","year":2023,"lang":"en","type":"article","venue":"Indian Journal of Musculoskeletal Radiology","topic":"Spondyloarthritis Studies and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sacroiliitis; Erythrocyte sedimentation rate; Medicine; Magnetic resonance imaging; Sacroiliac joint; HLA-B27; Internal medicine; Ankylosing spondylitis; Edema; Spondylarthropathies; Gastroenterology; Radiology; Pathology; Human leukocyte antigen; Antigen; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006169125,0.0003179095,0.0003814197,0.0007983079,0.0003205469,0.0004470584,0.0002490976,0.0005615764,0.002311605],"category_scores_gemma":[0.002030982,0.0001530726,0.0002146913,0.0006979653,0.0003151011,0.000543043,0.0002292537,0.000384603,0.0007666905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946228,"about_ca_system_score_gemma":0.0005094087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007457439,"about_ca_topic_score_gemma":0.0009327733,"domain_scores_codex":[0.9996274,0.00009514106,0.0000555422,0.00007032759,0.00007289196,0.00007872066],"domain_scores_gemma":[0.9986123,0.0002009012,0.0006922955,0.00003681369,0.0002248193,0.0002329246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001977324,0.0003689197,0.9892465,0.00016153,0.00002514015,0.001004771,0.000140244,0.00004079096,0.001977671,0.00003274681,0.0001565337,0.006647442],"study_design_scores_gemma":[0.00003783655,0.002215552,0.9871088,0.00005617321,0.0000470575,0.007995707,0.0004481292,0.000118873,0.0005907159,0.00005950719,0.001312527,0.000009170357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957843,0.002434266,0.000332169,0.0001697699,0.00003089954,0.00006968951,0.0001257546,0.000005022562,0.001048089],"genre_scores_gemma":[0.9964091,0.001282089,0.001048447,0.0001687037,0.0001650547,0.00006754357,0.0002759045,0.000002915378,0.0005802783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002311605,"threshold_uncertainty_score":0.007733107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00625748361217646,"score_gpt":0.2594739899503591,"score_spread":0.2532165063381827,"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."}}