{"id":"W2933876793","doi":"10.2196/13204","title":"Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; mHealth; Medicine; Interquartile range; Type 2 diabetes; Diabetes mellitus; Self-management; Diabetes management; Glycemic; Gerontology; Psychological intervention; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006237734,0.0002172147,0.000285659,0.0007825397,0.0002648252,0.000480008,0.000209989,0.0003018484,0.001440921],"category_scores_gemma":[0.00258588,0.0001353242,0.0003844461,0.0006201846,0.0001326844,0.0005083047,0.0003814026,0.0002954412,0.00035302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348977,"about_ca_system_score_gemma":0.0001779009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804939,"about_ca_topic_score_gemma":0.00356026,"domain_scores_codex":[0.9995471,0.0001229963,0.0000819848,0.0001085633,0.00008853417,0.00005086704],"domain_scores_gemma":[0.9978918,0.0005227315,0.001029452,0.0001007779,0.0002240685,0.0002310368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002598353,0.0001129169,0.9879907,0.00006087181,0.00004105389,0.00008663551,0.0008014102,0.00002169179,0.0005011925,0.000009778885,0.0002284362,0.00988555],"study_design_scores_gemma":[0.00001056642,0.0003679997,0.9972806,0.00002066185,0.00004552295,0.00037463,0.0009796752,0.0002213722,0.0001780104,0.00001017173,0.000500707,0.000009947778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991177,0.000135806,0.00006090824,0.00002483336,0.00000289276,0.00002057507,0.0003227347,0.000006329098,0.0003082301],"genre_scores_gemma":[0.9988588,0.0001428609,0.0002181019,0.00003946038,0.000006717012,0.00003458052,0.0003564181,0.000003538753,0.0003396441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804939,"threshold_uncertainty_score":0.004820347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904661944834859,"score_gpt":0.3834321149863749,"score_spread":0.3543854955380263,"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."}}