{"id":"W4385954360","doi":"10.3389/fpubh.2023.1240879","title":"eHealth profile of patients with diabetes","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"eHealth; mHealth; Medicine; Telemedicine; Digital health; Telehealth; Type 2 diabetes; Logistic regression; Cross-sectional study; Cohort; The Internet; Health care; Gerontology; Family medicine; Diabetes mellitus; Psychological intervention; Nursing; 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":[0.0004504055,0.0001307931,0.0002020038,0.0009582338,0.000302631,0.0005140988,0.0001369209,0.0002700208,0.002503104],"category_scores_gemma":[0.001908138,0.00006222975,0.000366974,0.001427505,0.000112545,0.0003989955,0.0003744553,0.0004020314,0.0004144555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194107,"about_ca_system_score_gemma":0.0002264838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547383,"about_ca_topic_score_gemma":0.002516181,"domain_scores_codex":[0.9996086,0.00007876108,0.00007414728,0.00006984622,0.00009508196,0.00007363736],"domain_scores_gemma":[0.998612,0.000228307,0.0006955778,0.00006100504,0.0001938461,0.0002092946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005192858,0.00001780253,0.9979751,0.00001304858,0.00001758521,0.00003175821,0.00004411364,0.00001881828,0.00007642819,0.000007767467,0.0001404124,0.001605254],"study_design_scores_gemma":[0.000005714257,0.00006303305,0.9989951,0.00001445589,0.00001800357,0.0002085472,0.0001688766,0.00007522235,0.00004575438,0.00002531899,0.0003751907,0.00000487841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944502,0.0005448451,0.0001448331,0.0001666685,0.00001033129,0.00002022185,0.003390636,0.000008427341,0.001263863],"genre_scores_gemma":[0.9977502,0.0001795392,0.000141906,0.00007033203,0.00001351403,0.00002366359,0.001608159,0.000001845892,0.0002108091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547383,"threshold_uncertainty_score":0.008373678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710101393148334,"score_gpt":0.3644056624263849,"score_spread":0.3273046484949015,"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."}}