{"id":"W7118545140","doi":"10.1093/eurjpc/zwaf737","title":"Diabetes and cardiovascular prevention: bridging two epidemics","year":2025,"lang":"en","type":"article","venue":"European Journal of Preventive Cardiology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Diabetes mellitus; MEDLINE; Epidemiology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005931925,0.0002461077,0.001487386,0.0003335896,0.0001030394,0.00002911802,0.0001980382,0.00005822889,0.00001621412],"category_scores_gemma":[0.0008244544,0.0002154482,0.001959116,0.0002450747,0.0002449639,0.0001368044,0.0001809304,0.0005335578,0.00001418597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005368689,"about_ca_system_score_gemma":0.0001287158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009268471,"about_ca_topic_score_gemma":0.000001054593,"domain_scores_codex":[0.9957328,0.002504884,0.0007513025,0.0003533575,0.0002901263,0.0003674662],"domain_scores_gemma":[0.9984863,0.0001317791,0.0002670042,0.0005095781,0.0004274137,0.0001779333],"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":[0.0001081753,0.0000525765,0.02792653,0.000220728,0.01470387,0.001062236,0.0001185792,0.0005147792,0.0004864851,0.0001480349,0.003839104,0.9508189],"study_design_scores_gemma":[0.01184634,0.001367689,0.7010285,0.002218283,0.009075736,0.002243592,0.0004080013,0.00012173,0.002152043,0.001753092,0.2672197,0.0005652828],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8058541,0.09636158,0.0654332,0.0004232076,0.00131625,0.0005620467,0.000006857786,0.00004693833,0.02999586],"genre_scores_gemma":[0.9933683,0.001787659,0.002295201,0.0003129428,0.001353638,0.00000505532,0.000006449095,0.00004055285,0.0008302323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9502536,"threshold_uncertainty_score":0.8785725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443306811894629,"score_gpt":0.268296525417926,"score_spread":0.2538634572989797,"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."}}