{"id":"W4414837348","doi":"10.1016/j.ejogrb.2025.114248","title":"Linzagolix (LGX) reduces Heavy Menstrual Bleeding (HMB) and Fibroid Volume (FV) in black and obese women with Uterine Fibroids (UFs): a stratified pooled analysis of the PRIMROSE 1 & 2 phase 3 trials","year":2025,"lang":"en","type":"article","venue":"European Journal of Obstetrics & Gynecology and Reproductive Biology","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Pooled analysis; Uterine fibroids; Menstrual bleeding; Volume (thermodynamics); Uterine bleeding","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":[0.001658477,0.001060125,0.003204927,0.0006127006,0.0001857427,0.0009015645,0.0003964446,0.0008685514,0.003218732],"category_scores_gemma":[0.002182077,0.0005775636,0.005886524,0.0005947437,0.0004625714,0.0006982297,0.0004824536,0.00148723,0.0002268283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848366,"about_ca_system_score_gemma":0.0005127657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903365,"about_ca_topic_score_gemma":0.007075089,"domain_scores_codex":[0.9993824,0.000362455,0.0000546382,0.00008432053,0.00005182378,0.00006436197],"domain_scores_gemma":[0.9993361,0.000282778,0.0002300133,0.00003929582,0.00003603477,0.00007577487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.7812677,0.0009727247,0.007303943,0.01388821,0.1061845,0.0001201038,0.0001410231,0.001378451,0.004713412,0.0002021476,0.001968255,0.08185955],"study_design_scores_gemma":[0.7362874,0.06196616,0.04725144,0.001735693,0.1441364,0.0002665349,0.0002359024,0.00138361,0.001202774,0.0007497378,0.004681852,0.0001025393],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7862285,0.2051744,0.001200096,0.001253695,0.0004570162,0.001024748,0.002053491,0.0001753869,0.002432656],"genre_scores_gemma":[0.9678602,0.02789686,0.00106519,0.0008301671,0.0001742426,0.0003199253,0.0007463492,0.00001680792,0.001090294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003218732,"threshold_uncertainty_score":0.01076776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270996047304193,"score_gpt":0.3227459181497669,"score_spread":0.2956463134193476,"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."}}