{"id":"W4388491210","doi":"10.1080/23293691.2023.2267533","title":"A Bother or a Benefit? How Contraceptive Users Balance the Trade-Offs Between Preferred Menstrual Bleeding Patterns and Preferred Contraceptive Methods in India, South Africa, and the United States","year":2023,"lang":"en","type":"article","venue":"Women s Reproductive Health","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affect (linguistics); Family planning; Menstrual bleeding; Medicine; Hormonal contraception; Natural family planning; Population; Social psychology; Developed country; Psychology; Menstrual cycle; Menstruation; Gynecology; Environmental health; Hormone; Research methodology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007583539,0.0005277087,0.00135475,0.0004811287,0.0005588669,0.0001166949,0.0001973093,0.0001867758,0.00002436624],"category_scores_gemma":[0.001544392,0.0003040567,0.00008467513,0.001662672,0.0009002503,0.000288134,0.0001306134,0.001058059,0.000004603348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446349,"about_ca_system_score_gemma":0.0003534807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005791925,"about_ca_topic_score_gemma":0.00006379756,"domain_scores_codex":[0.9937595,0.001821838,0.0008281234,0.001663531,0.0005435612,0.001383497],"domain_scores_gemma":[0.9963103,0.001429312,0.0006748943,0.0008936653,0.0002338634,0.0004579638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.01462187,0.0002532546,0.2130358,0.0008261055,0.001037961,0.00003476704,0.6825694,0.0000471635,0.0006485637,0.0008036872,0.0007114729,0.08540988],"study_design_scores_gemma":[0.009122866,0.001228141,0.837218,0.0002627771,0.0001017184,0.00004540606,0.1464179,0.0007617474,0.0001362445,0.001288365,0.003076782,0.0003400586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455578,0.001478483,0.000450409,0.04602076,0.0001919537,0.005819921,0.0002289531,0.0001724474,0.00007926553],"genre_scores_gemma":[0.993064,0.001951307,0.0005301142,0.001202376,0.0007501729,0.001309736,0.00009818561,0.00008603764,0.00100804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6241822,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985208061520295,"score_gpt":0.3500590233596628,"score_spread":0.2902069427444599,"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."}}