{"id":"W4407901979","doi":"10.2196/64505","title":"Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Preprint; Diabetes mellitus; Diabetes management; Medicine; Psychology; Gerontology; Computer science; Type 2 diabetes; World Wide Web; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002153262,0.0006054359,0.001003471,0.001015831,0.001568265,0.0001065212,0.0008513988,0.0004050472,0.00006056904],"category_scores_gemma":[0.0006523518,0.0005046946,0.00008087172,0.002339051,0.00012559,0.0003961204,0.0008295869,0.0009794914,0.0001769621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002957693,"about_ca_system_score_gemma":0.0003563802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001443569,"about_ca_topic_score_gemma":0.0001119999,"domain_scores_codex":[0.9937975,0.001072067,0.001039414,0.001303751,0.0004266225,0.002360601],"domain_scores_gemma":[0.9940141,0.002938011,0.0004615745,0.001729833,0.0003917575,0.0004647512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003385193,0.0005521909,0.8179089,0.002495566,0.0002219254,0.000002021129,0.001270048,0.000002492626,0.0001454605,0.001018852,0.02511019,0.1512385],"study_design_scores_gemma":[0.003854352,0.002123284,0.6977535,0.001709057,0.0003180201,5.350034e-8,0.03103879,0.0002495458,0.001175745,0.0006318262,0.260289,0.0008568087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706576,0.000294288,0.000220793,0.004806953,0.0006265502,0.01871305,0.00006543423,0.002554126,0.00206115],"genre_scores_gemma":[0.8499256,0.00007359022,0.03170886,0.003074943,0.00008695559,0.1128434,0.0000702871,0.00008965498,0.002126679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2351789,"threshold_uncertainty_score":0.9997405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394006181734291,"score_gpt":0.4171537134170763,"score_spread":0.3777530952436472,"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."}}