{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003043526,0.000103572,0.0002681396,0.000824038,0.0009558666,0.002381668,0.0003714177,0.0006249582,0.001923881],"category_scores_gemma":[0.01300807,0.0003491645,0.0003502262,0.0007578474,0.001673889,0.001594166,0.0007547433,0.0007181081,0.0001901637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792527,"about_ca_system_score_gemma":0.0007032463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010063,"about_ca_topic_score_gemma":0.01124533,"domain_scores_codex":[0.9979164,0.001297308,0.0001205654,0.0001335885,0.0002799403,0.000252315],"domain_scores_gemma":[0.9960364,0.002333592,0.0009225539,0.0001369133,0.0001517419,0.0004187926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004620465,0.0002683616,0.9134482,0.0001039358,0.0001454969,0.0002152775,0.035179,0.0001693929,0.0007671422,0.001392766,0.0007525404,0.04709581],"study_design_scores_gemma":[0.00004977022,0.0003453183,0.914795,0.000151669,0.0001143356,0.00062573,0.07790468,0.00107342,0.0003686782,0.001859018,0.002664648,0.00004762328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980596,0.0002741097,0.00004641296,0.0005557222,0.000005099307,0.000004191033,0.00001285582,9.395242e-7,0.001041076],"genre_scores_gemma":[0.999481,0.000190728,0.00003820067,0.0001609989,0.000004560306,0.000002733251,0.000006331031,8.040886e-7,0.0001146331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.010063,"threshold_uncertainty_score":0.02000886,"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."}}