{"id":"W4417172664","doi":"10.1016/j.mpdhp.2025.11.003","title":"Fibromuscular dysplasia: an update","year":2025,"lang":"en","type":"article","venue":"Diagnostic histopathology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Fibromuscular dysplasia; Medical diagnosis; Dysplasia; Biopsy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594187,0.0001861767,0.0004311036,0.0002245053,0.0001095744,0.00001155014,0.000156658,0.0001947335,0.0001985736],"category_scores_gemma":[0.001846037,0.0001572535,0.0001508048,0.0002352269,0.0002363648,0.00006784448,0.00007816951,0.0002409325,0.0003346398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005574327,"about_ca_system_score_gemma":0.0001136848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001576973,"about_ca_topic_score_gemma":0.000009206748,"domain_scores_codex":[0.998682,0.0001493928,0.0002722577,0.0004419865,0.0001256988,0.0003286719],"domain_scores_gemma":[0.9988486,0.0002692862,0.0000473598,0.0006316665,0.00008815189,0.0001149254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008163948,0.003392535,0.5204678,0.001281292,0.0003086391,0.04464287,0.001998757,0.0001535258,0.07792486,0.09971887,0.07234579,0.1769487],"study_design_scores_gemma":[0.002640646,0.001005169,0.8119994,0.0002397861,0.0005519312,0.002125734,0.000201673,0.0001054764,0.003723988,0.004931497,0.1721005,0.0003741569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971884,0.00350964,0.005053651,0.002572014,0.0007829404,0.0004291038,0.00001033464,0.000270861,0.01548745],"genre_scores_gemma":[0.9904988,0.0004468798,0.003351746,0.002937078,0.0001111514,0.0001090054,0.0001242167,0.00002219124,0.00239889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2915317,"threshold_uncertainty_score":0.6412611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685504496936178,"score_gpt":0.2805211256088758,"score_spread":0.2718356211119396,"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."}}