{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01305221,0.0005765065,0.0008223773,0.001472758,0.009804343,0.003800697,0.001564875,0.002555681,0.003561737],"category_scores_gemma":[0.02621784,0.0009103318,0.000423101,0.001695338,0.006573687,0.003586684,0.004674897,0.003237526,0.0004486155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005386332,"about_ca_system_score_gemma":0.005338025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009456189,"about_ca_topic_score_gemma":0.01584095,"domain_scores_codex":[0.9874243,0.009013238,0.0003976469,0.0006853993,0.0008014629,0.001677889],"domain_scores_gemma":[0.9639747,0.02759879,0.00248943,0.000478779,0.0019928,0.003465486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003038325,0.00003854751,0.002205689,0.0001050001,0.000003165406,0.0007437301,0.9943198,0.00001601831,0.0004595311,0.0002265584,0.0002998908,0.001551666],"study_design_scores_gemma":[0.000006054119,0.00006262918,0.001707934,0.0001459551,0.000003588914,0.0002731375,0.9939878,0.00004491521,0.0001406022,0.00008435131,0.003533341,0.000009729738],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910487,0.000975166,0.001181416,0.003098784,0.00006520078,0.0001558256,0.0001529625,0.00001643747,0.003305372],"genre_scores_gemma":[0.9947463,0.001028607,0.0008104211,0.00158824,0.00003363115,0.0002088049,0.00006456014,0.00001785784,0.001501494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305221,"threshold_uncertainty_score":0.06902748,"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."}}