{"id":"W4360600498","doi":"10.2196/40272","title":"Secure Messaging for Diabetes Management: Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Office of Research and Development; AcademyHealth; U.S. Department of Veterans Affairs","keywords":"Glycemic; Diabetes mellitus; Medicine; Diabetes management; Type 2 diabetes; Content analysis; Control (management); Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001150208,0.0002185885,0.000515284,0.0006538626,0.001286807,0.00001728131,0.0002842836,0.000181892,0.0002863474],"category_scores_gemma":[0.0000841531,0.0002005159,0.0002371232,0.002196339,0.00004559682,0.00009684562,0.0001387814,0.0003130176,0.0007893156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146477,"about_ca_system_score_gemma":0.00008840821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140957,"about_ca_topic_score_gemma":0.00004402901,"domain_scores_codex":[0.9967624,0.0001773078,0.0007621046,0.0005289871,0.0002429776,0.001526211],"domain_scores_gemma":[0.9975004,0.001019056,0.0002951025,0.0005996913,0.0001818129,0.0004039099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001542151,0.0000868244,0.7899367,0.004159801,0.0006745536,8.202384e-7,0.0005764294,0.00004360667,0.0001975265,0.02697244,0.162445,0.01489081],"study_design_scores_gemma":[0.001136828,0.00004903992,0.3535553,0.0001679243,0.0004319906,8.708091e-9,0.001247202,0.004425792,0.00005827048,0.002753774,0.6359153,0.0002585075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503641,0.0006406342,0.0004219344,0.01483939,0.0007148783,0.0156941,0.0004926909,0.001526091,0.0153062],"genre_scores_gemma":[0.8418675,0.0003183034,0.0007865409,0.007929191,0.000361078,0.1354567,0.001016878,0.00007442017,0.01218937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734703,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08956920420553947,"score_gpt":0.4377886028939263,"score_spread":0.3482193986883869,"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."}}