{"id":"W4385252052","doi":"10.1016/j.clbc.2023.07.005","title":"Evaluation of Association Between Menstrual Cycle Timing and Quantitative Background Parenchymal Enhancement on Breast MRI in Premenopausal Women","year":2023,"lang":"en","type":"article","venue":"Clinical Breast Cancer","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Aging","keywords":"Menstrual cycle; Medicine; Follicular phase; Luteal phase; Parenchyma; Body mass index; Breast cancer; Menstruation; Gynecology; Physiology; Internal medicine; Pathology; Hormone; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004402234,0.000201642,0.000182339,0.0006898377,0.0001860486,0.0003443978,0.0001828332,0.0002818736,0.001059558],"category_scores_gemma":[0.002866883,0.000188482,0.0001775522,0.0005980842,0.0001783218,0.0002097193,0.0001904814,0.0002381234,0.0001216568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529828,"about_ca_system_score_gemma":0.0002030185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282231,"about_ca_topic_score_gemma":0.002031248,"domain_scores_codex":[0.9998154,0.00007365534,0.0000194005,0.00003170346,0.00002322011,0.0000365985],"domain_scores_gemma":[0.9988716,0.0005141948,0.0003798257,0.00005245322,0.00006445865,0.0001174321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009885156,0.00004103142,0.9948436,0.00001469668,0.00004499403,0.0002017358,0.00006147398,0.00002595848,0.001401468,0.00001913343,0.000025523,0.002331941],"study_design_scores_gemma":[0.000005500193,0.0002007531,0.9990506,0.000002594509,0.00002748704,0.000276187,0.00008591491,0.00009433711,0.0001317927,0.00001209186,0.0001109298,0.000001881873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988598,0.0004647843,0.00008054502,0.00002621546,0.00000681691,0.000006439789,0.00008503039,0.000002626983,0.0004677145],"genre_scores_gemma":[0.9994481,0.0001715789,0.00009221739,0.00001327996,0.0000126505,0.000005413831,0.00007273239,0.000002101491,0.0001819303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001282231,"threshold_uncertainty_score":0.003544569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1740580846854266,"score_gpt":0.4689678883820856,"score_spread":0.294909803696659,"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."}}