{"id":"W7116341189","doi":"10.17632/96y27zs4gw.1","title":"Assessing and Predicting Cutaneous Leiomyoma Severity in Hereditary Leiomyomatosis and Renal Cell Cancer Syndrome: An Observational Study","year":2025,"lang":"","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre; McGill University","funders":"","keywords":"Logistic regression; Leiomyomatosis; Observational study; Table (database); Binomial regression; Ordered logit; Odds ratio; Regression","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":[0.003439795,0.0006414742,0.001249708,0.001062893,0.0006957985,0.001036142,0.001260197,0.001052233,0.03778757],"category_scores_gemma":[0.02588137,0.0005791893,0.001779101,0.002381462,0.0002626099,0.0006888719,0.001063284,0.001329786,0.003296647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005895313,"about_ca_system_score_gemma":0.00144852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00848177,"about_ca_topic_score_gemma":0.01080037,"domain_scores_codex":[0.9970466,0.001154067,0.0005762727,0.0006874311,0.0003371305,0.0001985634],"domain_scores_gemma":[0.9895335,0.00549536,0.002001305,0.001384212,0.001212716,0.0003728282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008124619,0.0004436978,0.5454999,0.01571922,0.007254499,0.0004188714,0.0007623396,0.0006288064,0.0004866619,0.002454428,0.38208,0.036127],"study_design_scores_gemma":[0.006918977,0.0008053107,0.8959682,0.01039358,0.007171724,0.001234782,0.0009350048,0.001858565,0.0002994517,0.002961043,0.07126686,0.0001865944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.148267,0.01031019,0.00410648,0.001668638,0.0005177142,0.001465148,0.8281083,0.0001411819,0.005415381],"genre_scores_gemma":[0.5490708,0.005254652,0.0105528,0.001744812,0.000711808,0.01554452,0.4091623,0.000355101,0.007603169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03778757,"threshold_uncertainty_score":0.126412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631651444602215,"score_gpt":0.3872167047483224,"score_spread":0.2240515602881009,"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."}}