{"id":"W4391683697","doi":"10.2196/49491","title":"Care Partner Engagement in Secure Messaging Between Patients With Diabetes and Their Clinicians: Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; Agency for Healthcare Research and Quality; Centers for Disease Control and Prevention; U.S. National Library of Medicine; National Institute on Aging; American Diabetes Association","keywords":"Patient portal; Glycemic; Proxy (statistics); Medicine; Cohort; Family medicine; Health care; Patient satisfaction; Diabetes mellitus; Nursing; Internal medicine; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.002527223,0.0003651214,0.0007620298,0.0002673318,0.0004680838,0.00004966433,0.0002013915,0.0002136376,0.00006203495],"category_scores_gemma":[0.00008757893,0.0002509056,0.00004843958,0.000484489,0.00005367011,0.0002157936,0.0001713289,0.001494839,0.00006199958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611286,"about_ca_system_score_gemma":0.000380503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007687324,"about_ca_topic_score_gemma":0.0006488054,"domain_scores_codex":[0.994727,0.001954246,0.000932935,0.0007438184,0.0003554626,0.001286549],"domain_scores_gemma":[0.9970537,0.001980383,0.0001788654,0.0004450133,0.0001383804,0.0002036576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005088839,0.0000996196,0.9685871,0.001856764,0.00016237,0.000001445853,0.02238134,8.204884e-7,0.000002558208,0.00002914907,0.0007557921,0.00611793],"study_design_scores_gemma":[0.001106159,0.0005829661,0.9683261,0.001994821,0.00005096679,6.857761e-9,0.01301426,0.00007121159,0.000009013788,0.00006924514,0.01449109,0.0002841809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872144,0.003006033,0.000001594019,0.0003059546,0.0004081753,0.007261171,0.00007251339,0.0002411846,0.001488978],"genre_scores_gemma":[0.9951059,0.00002340636,0.00001431527,0.0003219489,0.0003236118,0.003836815,0.00009519282,0.00009264702,0.0001862252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373529,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225846000964081,"score_gpt":0.4002392010385249,"score_spread":0.3679807410288841,"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."}}