{"id":"W4387902143","doi":"10.1093/eurpub/ckad160.1223","title":"eHealth profile of patients with diabetes","year":2023,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"eHealth; mHealth; Medicine; Telemedicine; Digital health; Logistic regression; The Internet; Type 2 diabetes; Telehealth; Cross-sectional study; Family medicine; Health care; Gerontology; Diabetes mellitus; Nursing; Psychological intervention; Internal medicine; World Wide Web; Computer science","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":[0.0004177637,0.0001378906,0.0002218705,0.001045729,0.0002800414,0.0005289705,0.0001474194,0.0002787308,0.002761226],"category_scores_gemma":[0.002024085,0.00006942597,0.0003965627,0.001519567,0.0001197161,0.0004343073,0.000383056,0.0004036972,0.0003782265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171793,"about_ca_system_score_gemma":0.0002249571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672252,"about_ca_topic_score_gemma":0.002403564,"domain_scores_codex":[0.9995413,0.0001010051,0.00008851576,0.00008148173,0.0001076103,0.00008008035],"domain_scores_gemma":[0.9984922,0.0002715368,0.0007087574,0.00006553732,0.0002264882,0.0002354402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005247399,0.00002179882,0.9980596,0.0000139292,0.0000220324,0.00002995915,0.00004313003,0.00002162371,0.00008025049,0.0000081143,0.0001329351,0.001514073],"study_design_scores_gemma":[0.000005601,0.00006380572,0.9990776,0.00001499187,0.00001716239,0.0001630336,0.0001763921,0.000108058,0.0000497192,0.00002559042,0.0002925891,0.000005441634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951018,0.000553183,0.0001374869,0.0001442909,0.00001039031,0.00001668047,0.002932317,0.000007853856,0.001096025],"genre_scores_gemma":[0.998202,0.0001435866,0.0001072111,0.00006115179,0.00001420252,0.0000181068,0.001254613,0.000001587555,0.0001976404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002761226,"threshold_uncertainty_score":0.00923717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0781518056592997,"score_gpt":0.3856907027109165,"score_spread":0.3075388970516168,"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."}}