{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02692694,0.0006650796,0.001192933,0.001377519,0.002392596,0.002371816,0.0008398007,0.001558947,0.004297331],"category_scores_gemma":[0.03628545,0.001136939,0.001431007,0.001053797,0.001270645,0.001930782,0.002193403,0.001246058,0.0004728749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120704,"about_ca_system_score_gemma":0.0077114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007694103,"about_ca_topic_score_gemma":0.01475456,"domain_scores_codex":[0.980234,0.01349555,0.002179788,0.0008766775,0.001849128,0.00136493],"domain_scores_gemma":[0.9713028,0.01838528,0.002774381,0.001225859,0.004163564,0.002148102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02452639,0.1449627,0.2802389,0.01632612,0.001155292,0.003621468,0.2003462,0.0009141943,0.004980915,0.001480133,0.00421249,0.3172352],"study_design_scores_gemma":[0.02672827,0.3662561,0.4177227,0.005234887,0.001570144,0.002109974,0.1546361,0.003718113,0.0026339,0.001062684,0.01773624,0.0005911126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817653,0.0005658516,0.001000251,0.0003300821,0.00003990849,0.01506643,0.0002760448,0.00001215574,0.0009439985],"genre_scores_gemma":[0.954335,0.001689526,0.01318167,0.001222611,0.00009570116,0.02841059,0.0002456299,0.00001266627,0.0008066235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02692694,"threshold_uncertainty_score":0.142405,"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."}}