{"id":"W2788615464","doi":"10.2196/diabetes.8160","title":"Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Diabetes mellitus; Documentation; Mobile apps; Medicine; Computer science; Insulin; Intensive care medicine; Internet privacy; World Wide Web; Human–computer interaction; 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":[],"consensus_categories":[],"category_scores_codex":[0.001044746,0.000198599,0.0004945793,0.0001127592,0.0009563467,0.00001010907,0.0001777112,0.0002043624,0.00005353573],"category_scores_gemma":[0.0002674031,0.0001594182,0.00003790538,0.0003214527,0.0003126788,0.0001327847,0.0001050159,0.0003250246,0.00001843466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009455825,"about_ca_system_score_gemma":0.0002774658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004015186,"about_ca_topic_score_gemma":0.0003095428,"domain_scores_codex":[0.997421,0.0002457101,0.0008383283,0.0005089499,0.0002048058,0.0007811548],"domain_scores_gemma":[0.9973837,0.0008025859,0.0003845039,0.0006054077,0.0003799394,0.0004439278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009816355,0.000877876,0.9835709,0.001779671,0.00002008959,3.045437e-8,0.001354473,9.380871e-7,0.001611373,0.0003764699,0.002581083,0.007728916],"study_design_scores_gemma":[0.004816559,0.01167839,0.9266862,0.0003987642,0.0001069842,1.283959e-7,0.006254919,0.0007468191,0.000320486,0.001692083,0.04690479,0.0003938836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828575,0.0001799326,0.0002697464,0.0001962426,0.0001126973,0.01585249,0.00004632764,0.0001851539,0.0002999645],"genre_scores_gemma":[0.9318053,0.00001254878,0.001332218,0.0006880594,0.0002877307,0.06576207,0.00002219568,0.00003529442,0.00005459593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05688472,"threshold_uncertainty_score":0.7355543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05046788919680217,"score_gpt":0.4096574582024001,"score_spread":0.359189569005598,"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."}}