{"id":"W3169534850","doi":"10.1210/clinem/dgab434","title":"The Integration of Sex and Gender Considerations Into Biomedical Research: Lessons From International Funding Agencies","year":2021,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Gender and Health; Canadian Institutes of Health Research","funders":"National Institutes of Health","keywords":"Government (linguistics); Political science; Public relations; Incentive; Commission; Health care; Transparency (behavior)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00467075,0.00009967485,0.0005191587,0.0001338753,0.0003356485,0.0000283619,0.0002215921,0.0001357764,0.0001617711],"category_scores_gemma":[0.0128215,0.00005269513,0.0001682426,0.0001720723,0.001298232,0.00007617047,0.0001758747,0.001434314,0.000004299498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002728888,"about_ca_system_score_gemma":0.0008344244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009350229,"about_ca_topic_score_gemma":0.00009520953,"domain_scores_codex":[0.9955757,0.001958804,0.001377521,0.0001760905,0.0006417617,0.0002701022],"domain_scores_gemma":[0.9876527,0.01022793,0.0003871789,0.0003454997,0.001207337,0.0001793381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002241866,0.001044458,0.02497262,0.0001019728,0.005098663,0.001028351,0.04695669,0.00001966174,0.05514612,0.1728367,0.0285007,0.6620522],"study_design_scores_gemma":[0.005629038,0.0006175603,0.3617109,0.0001700421,0.0009320502,0.004224916,0.08242004,0.0005857375,0.01356173,0.2680407,0.2619059,0.0002013777],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8678479,0.01596166,0.0006399355,0.1127354,0.002138509,0.0001142462,0.00001132035,0.000007363345,0.0005436178],"genre_scores_gemma":[0.9774532,0.01698052,0.002451235,0.001307253,0.001585639,0.000003005127,0.000007982756,0.000009181184,0.0002019222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6618508,"threshold_uncertainty_score":0.9954939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5451666577396737,"score_gpt":0.5637672070940409,"score_spread":0.01860054935436728,"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."}}