{"id":"W4212768092","doi":"10.1016/j.mpdhp.2022.01.004","title":"Fibromuscular dysplasia: an update","year":2022,"lang":"en","type":"article","venue":"Diagnostic histopathology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Fibromuscular dysplasia; Computer science; Medicine; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040869,0.000173936,0.0003842509,0.0001687777,0.000307928,0.00000761269,0.0001997557,0.00007633804,0.001656333],"category_scores_gemma":[0.0008136778,0.0001618482,0.0001596753,0.000202233,0.0001643993,0.00006057399,0.0002014137,0.0003946669,0.000254934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002846,"about_ca_system_score_gemma":0.00009064216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879951,"about_ca_topic_score_gemma":0.000003744783,"domain_scores_codex":[0.998328,0.000326303,0.0002545474,0.0004592771,0.0002731481,0.0003586997],"domain_scores_gemma":[0.9989241,0.0002007531,0.00007155789,0.0006028483,0.00004675969,0.0001539762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001624654,0.007716717,0.4240045,0.0006255402,0.0002795185,0.2049781,0.009572756,0.002489334,0.1070968,0.03585933,0.09112351,0.1146292],"study_design_scores_gemma":[0.003678223,0.005254058,0.4703615,0.00003340455,0.0004893235,0.02733633,0.001108736,0.0002359507,0.00112132,0.00258645,0.4871092,0.0006854453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916116,0.002032734,0.0006191719,0.001402812,0.0006627201,0.0003742913,0.00003527653,0.0002192483,0.003042158],"genre_scores_gemma":[0.9944951,0.0001314103,0.001675302,0.002069001,0.0001360773,0.0003080448,0.0002900044,0.0000366611,0.0008584041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959857,"threshold_uncertainty_score":0.9992563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285283478362233,"score_gpt":0.2560946959662131,"score_spread":0.2432418611825908,"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."}}