{"id":"W4224274570","doi":"10.1016/j.annepidem.2022.04.004","title":"Relationship between BMI trajectories and cardiometabolic outcomes in postmenopausal women: a growth mixture modeling approach","year":2022,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"World Health Organization","keywords":"Medicine; Body mass index; Menopause; Longitudinal study; Diabetes mellitus; Demography; Postmenopausal women; Proportional hazards model; Obesity; Gerontology; Internal medicine; Endocrinology","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":[0.005335109,0.000878324,0.0012663,0.0008841088,0.0008063809,0.001615687,0.001681414,0.001459696,0.002344537],"category_scores_gemma":[0.008193395,0.0008346587,0.00290618,0.001133411,0.0004539406,0.00073372,0.001567798,0.002269164,0.0004988677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482768,"about_ca_system_score_gemma":0.001079305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03234512,"about_ca_topic_score_gemma":0.01700118,"domain_scores_codex":[0.9988316,0.0006794353,0.00004424056,0.0002935847,0.000056605,0.00009454311],"domain_scores_gemma":[0.9971845,0.002020647,0.0002306431,0.0003065834,0.0001199578,0.000137788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003904827,0.000688189,0.8049288,0.00012993,0.006351874,0.0004499186,0.001081034,0.126874,0.00196514,0.006098375,0.002331037,0.04519686],"study_design_scores_gemma":[0.0001858171,0.0005604629,0.1583347,0.00007260891,0.002331794,0.0003068478,0.0005179148,0.8290381,0.0002939615,0.006804211,0.001475588,0.00007801515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445766,0.00094291,0.05113548,0.000960032,0.00008200691,0.00006761368,0.001583595,0.0001876439,0.0004641938],"genre_scores_gemma":[0.9836283,0.0004195982,0.01210501,0.0000979811,0.00004295629,0.0001432951,0.001593512,0.00004016832,0.001929257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03234512,"threshold_uncertainty_score":0.06431371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2349594226473208,"score_gpt":0.4173175651951045,"score_spread":0.1823581425477837,"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."}}