{"id":"W6977187840","doi":"10.6084/m9.figshare.24864280","title":"Additional file 2 of Associations of dietary copper intake with cardiovascular disease and mortality: findings from the Chinese Perspective Urban and Rural Epidemiology (PURE-China) Study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Perspective (graphical); Epidemiology; Disease; Rural population; Nutritional epidemiology; Rural area","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001340075,0.0008906645,0.00128041,0.002000552,0.001041534,0.0008660735,0.001921372,0.0008445092,0.7525189],"category_scores_gemma":[0.02231627,0.0004826866,0.00111144,0.004542255,0.0002387959,0.001385517,0.0008131097,0.000770401,0.04731881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859434,"about_ca_system_score_gemma":0.002139436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0237771,"about_ca_topic_score_gemma":0.02489711,"domain_scores_codex":[0.9992976,0.0001586054,0.0001500361,0.0001603791,0.0001103391,0.0001230383],"domain_scores_gemma":[0.988185,0.008235982,0.0009550594,0.0006400516,0.001628722,0.0003552507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005784802,0.000136037,0.01510642,0.004827178,0.0001704003,0.0001285204,0.000172296,0.0004347015,0.00007302997,0.0009288608,0.9680052,0.009438941],"study_design_scores_gemma":[0.0185701,0.00103986,0.3175592,0.01056806,0.001949311,0.001502812,0.002975498,0.005516834,0.0009680502,0.01618765,0.6227388,0.0004238005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007413559,0.00003150222,0.0001384004,0.00008890817,0.00001693331,0.0001086047,0.998128,0.00006123339,0.000685079],"genre_scores_gemma":[0.05058343,0.0003593191,0.003554164,0.0008772374,0.0001592012,0.005712249,0.9202656,0.0003302798,0.0181585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7525189,"threshold_uncertainty_score":0.3530017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046110807149922,"score_gpt":0.2451310088729091,"score_spread":0.2246699008014099,"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."}}