{"id":"W2972789756","doi":"10.1016/s0140-6736(19)32086-0","title":"HEALTH for heavy menstrual bleeding: real-world implications","year":2019,"lang":"en","type":"letter","venue":"The Lancet","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Hysterectomy; Endometrial ablation; Menstrual bleeding; Context (archaeology); Quality of life (healthcare); Randomized controlled trial; Reproductive health; Gynecology; General surgery; Obstetrics; Population; Surgery; Nursing","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":[0.01167221,0.0006107052,0.001372648,0.003382593,0.001392989,0.005268214,0.001435601,0.00588203,0.05187187],"category_scores_gemma":[0.1178974,0.0004373567,0.002049579,0.006059952,0.002502466,0.005589477,0.003134094,0.005899256,0.003730628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005826679,"about_ca_system_score_gemma":0.01145202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240276,"about_ca_topic_score_gemma":0.02579439,"domain_scores_codex":[0.9844371,0.009787221,0.001284822,0.001035782,0.002566997,0.0008880636],"domain_scores_gemma":[0.8962649,0.07064299,0.01397501,0.002355874,0.009113157,0.007648125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004516001,0.00008367452,0.01905954,0.01448458,0.001002157,0.0007355876,0.0009656897,0.0004380438,0.00009091397,0.03089803,0.725845,0.2059451],"study_design_scores_gemma":[0.0004912897,0.0003457032,0.07123439,0.1219096,0.001842417,0.002660761,0.005997647,0.001139506,0.0001312477,0.1062331,0.6876737,0.0003406943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.00177684,0.2278386,0.0003319076,0.7533163,0.00507777,0.00005124159,0.003299845,0.00003389218,0.008273575],"genre_scores_gemma":[0.1701779,0.5113553,0.003068856,0.2835883,0.02439095,0.0005007653,0.003785942,0.0001316098,0.00300028],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05187187,"threshold_uncertainty_score":0.1735287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08156362804499719,"score_gpt":0.3659297285245087,"score_spread":0.2843661004795115,"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."}}