{"id":"W4412869068","doi":"10.2196/70816","title":"Physicians’ Experiences Using Secure Messaging for Diabetes Management: A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Computer science; Family medicine; Internet privacy; World Wide Web","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001146191,0.0002460075,0.0004737378,0.0002613075,0.001900561,0.00002363733,0.0003087205,0.0001203452,0.00006978514],"category_scores_gemma":[0.00008018155,0.0002324622,0.00009146141,0.0007575272,0.00008972629,0.0001687394,0.000142843,0.0003189959,0.00002824592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686543,"about_ca_system_score_gemma":0.0002011633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000212928,"about_ca_topic_score_gemma":0.00002777352,"domain_scores_codex":[0.9967319,0.0006179721,0.0007577479,0.0005700922,0.0002121951,0.001110058],"domain_scores_gemma":[0.9975629,0.001308456,0.0003286192,0.000463496,0.0001891257,0.0001474375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008555817,0.00169872,0.1804129,0.01169951,0.0004752096,9.656109e-7,0.6799816,0.00002405087,0.0004116235,0.04861138,0.04988949,0.02670897],"study_design_scores_gemma":[0.002105616,0.0001665921,0.008395598,0.001037948,0.0001178418,7.372495e-9,0.8856484,0.001265278,0.000151076,0.006918905,0.09386113,0.0003315564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977537,0.0005365521,0.0004506073,0.001487192,0.0005416184,0.01382042,0.00004641235,0.0002039765,0.00537625],"genre_scores_gemma":[0.8703396,0.00001658966,0.001256531,0.004099894,0.0001541041,0.1226392,0.00003003461,0.00002965996,0.001434367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2056669,"threshold_uncertainty_score":0.9993988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05500774756020027,"score_gpt":0.5129231196715835,"score_spread":0.4579153721113833,"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."}}