{"id":"W3104429942","doi":"10.2196/19650","title":"Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University; National Institute for Health and Care Research","keywords":"eHealth; Medicine; Clinical decision support system; Mobile apps; Exploratory research; Randomized controlled trial; Kidney disease; Intervention (counseling); mHealth; Diabetes management; Health care; Decision support system; Diabetes mellitus; Family medicine; Nursing; Clinical trial; Telemedicine; Type 2 diabetes; Psychological intervention; Computer science; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.002516754,0.0002244706,0.0006835089,0.00007204396,0.0006330391,0.000008564601,0.0004875688,0.0001506817,0.00002888671],"category_scores_gemma":[0.0002107152,0.0001539706,0.0001110606,0.0005604684,0.00009762705,0.00005267002,0.0002442617,0.0004730049,0.00002932326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027241,"about_ca_system_score_gemma":0.000489945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001366773,"about_ca_topic_score_gemma":0.00001819814,"domain_scores_codex":[0.9954607,0.001033618,0.001836773,0.0006883423,0.0003410317,0.0006395344],"domain_scores_gemma":[0.9940532,0.00329946,0.0007072522,0.0009951661,0.00040249,0.0005424513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786989,0.0007346703,0.9177262,0.0073506,0.00005408744,1.44784e-7,0.00167688,0.00000785945,0.000003095715,0.0001678422,0.004229564,0.06787036],"study_design_scores_gemma":[0.004794664,0.001252281,0.9608901,0.000627982,0.0001303216,1.413901e-8,0.01142969,0.0002125148,0.000006657844,0.00004682482,0.02046626,0.00014272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317498,0.0002983466,0.00379317,0.0008159649,0.0004125244,0.06126788,0.0005787357,0.0001448718,0.0009387325],"genre_scores_gemma":[0.8885396,0.00002587527,0.02202702,0.002334635,0.00006735184,0.0865983,0.0003591583,0.00003388538,0.00001424236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06772765,"threshold_uncertainty_score":0.627874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132112718860939,"score_gpt":0.4726702619335569,"score_spread":0.4113491347449476,"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."}}