{"id":"W4293152257","doi":"10.2147/ijwh.s371044","title":"Endometrial Cryoablation for the Treatment of Heavy Menstrual Bleeding: 36-Month Outcomes from the CLARITY Study","year":2022,"lang":"en","type":"article","venue":"International Journal of Women s Health","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Menstrual bleeding; CLARITY; Cryoablation; Gynecology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003150692,0.0005723695,0.0008536262,0.0004838707,0.0003326299,0.0005631174,0.0003480009,0.0007076073,0.001355042],"category_scores_gemma":[0.002923061,0.000253912,0.001246479,0.0005585252,0.0003138809,0.0004547565,0.0005801462,0.0006691454,0.000171302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854636,"about_ca_system_score_gemma":0.0005634511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359967,"about_ca_topic_score_gemma":0.002259229,"domain_scores_codex":[0.9987798,0.0006257679,0.0001211926,0.0001110341,0.0002446141,0.0001175829],"domain_scores_gemma":[0.9974841,0.0003782703,0.001375235,0.0001545978,0.0001962394,0.0004116544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.3329465,0.0162304,0.5271812,0.002259678,0.008913781,0.0003910807,0.0009759406,0.0007536995,0.003638362,0.0001223293,0.003250901,0.1033361],"study_design_scores_gemma":[0.04921642,0.08077786,0.8632404,0.0002152176,0.002862707,0.0003502535,0.0002478546,0.000328699,0.0004190433,0.00003701995,0.002263138,0.00004145816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928029,0.004701871,0.0001611472,0.0001114577,0.00002614473,0.0006253207,0.001026821,0.000006257889,0.0005380245],"genre_scores_gemma":[0.994354,0.002327283,0.0003875672,0.0002590324,0.0001243993,0.0004633635,0.001789519,0.000003594872,0.0002913116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003150692,"threshold_uncertainty_score":0.0166626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06588581138126308,"score_gpt":0.3809216221662373,"score_spread":0.3150358107849742,"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."}}