{"id":"W4409352304","doi":"10.1177/20363613251327080","title":"Comparison of MRI imaging features to differentiate degenerating fibroids from uterine leiomyosarcomas","year":2025,"lang":"en","type":"article","venue":"Rare Tumors","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"National Institute for Health and Care Research","keywords":"Medicine; Univariate analysis; Radiology; Leiomyosarcoma; Magnetic resonance imaging; Univariate; Uterine fibroids; Leiomyoma; Pathological; Multivariate analysis; Pathology; Internal medicine; Multivariate statistics","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":[0.004994404,0.0009321691,0.0005996685,0.003456945,0.0002495185,0.001120678,0.0007123631,0.000606597,0.000959416],"category_scores_gemma":[0.01795552,0.0002793579,0.001023783,0.0006341584,0.0005064848,0.0007199318,0.000675135,0.0004960312,0.0003541872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573785,"about_ca_system_score_gemma":0.0004944779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180987,"about_ca_topic_score_gemma":0.001135676,"domain_scores_codex":[0.9985202,0.0005786857,0.000173572,0.0003000997,0.000329015,0.00009845781],"domain_scores_gemma":[0.992431,0.004521239,0.001554383,0.0004906977,0.000720375,0.0002821285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009629842,0.0001421354,0.9631718,0.0001006332,0.0003398501,0.0002382202,0.00008902454,0.009020612,0.002241111,0.0000838853,0.0002196476,0.02339025],"study_design_scores_gemma":[0.0001295992,0.001868445,0.736451,0.000138657,0.0007336711,0.003269053,0.0003843569,0.2502052,0.004761115,0.0009726683,0.001026687,0.0000595864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848972,0.0007669303,0.01296757,0.0001302542,0.00002464573,0.0001121373,0.0003984915,0.0001218353,0.0005809898],"genre_scores_gemma":[0.9955587,0.00008042443,0.003810365,0.00001172164,0.00001225809,0.00002562083,0.0004257926,0.000008147405,0.00006691587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004994404,"threshold_uncertainty_score":0.02641326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436253159785151,"score_gpt":0.334407502164223,"score_spread":0.3200449705663715,"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."}}