{"id":"W2893778422","doi":"10.1111/dme.13832","title":"Time spent on self‐management by people with diabetes: results from the population‐based KORA survey in Germany","year":2018,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Diabetes Management and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Diabetes mellitus; Confidence interval; Population; Diabetes management; Self-management; Demography; Gerontology; Missing data; Quality of life (healthcare); Regression analysis; Type 2 diabetes; Internal medicine; Environmental health; Statistics; Endocrinology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357546,0.0002718627,0.0004558874,0.0002094402,0.00009950959,0.00002340824,0.0002317514,0.00006292512,0.0006653515],"category_scores_gemma":[0.0002972405,0.0001653978,0.00003403809,0.0007968479,0.000144357,0.00006359991,0.00004314981,0.0001773642,0.0004225048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582789,"about_ca_system_score_gemma":0.00003452243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009338263,"about_ca_topic_score_gemma":0.0003295951,"domain_scores_codex":[0.9976372,0.0001936952,0.000504494,0.0005160698,0.0006880622,0.0004605492],"domain_scores_gemma":[0.998044,0.0006742078,0.0001867013,0.0008254995,0.0001083824,0.0001612483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004846843,0.0006917235,0.8180166,0.00008608321,0.0002025402,0.000005852733,0.001443493,0.00001768253,0.00009923823,0.00004564715,0.1759478,0.00295862],"study_design_scores_gemma":[0.005464829,0.0009232317,0.9837639,0.0007906053,0.000235136,7.095318e-8,0.0001228096,0.002204478,0.0001120905,0.00005259514,0.006139229,0.0001909638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802215,0.00008665807,0.00001274433,0.01098821,0.0003513507,0.001074045,0.00004217703,0.00009046605,0.007132894],"genre_scores_gemma":[0.9888545,0.00001393738,0.0001795117,0.005474675,0.0004860171,0.00007020737,0.002652769,0.00003893516,0.002229394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1698086,"threshold_uncertainty_score":0.7285133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681112929675452,"score_gpt":0.2571638239688105,"score_spread":0.240352694672056,"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."}}