{"id":"W4298087310","doi":"10.2196/35039","title":"Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D’LITE Study): Prospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Medical Research Council; Medical Research Council","keywords":"Prediabetes; Medicine; Glycated hemoglobin; Glycemic; Diabetes mellitus; Weight loss; Type 2 diabetes; Prospective cohort study; Cohort; Overweight; Gerontology; Physical therapy; Body mass index; Obesity; Internal medicine; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003513741,0.0003471382,0.0009253459,0.0002726,0.001863536,0.00002902602,0.000151986,0.0001187151,0.00006843183],"category_scores_gemma":[0.0001230094,0.0003139798,0.00002053261,0.0006222103,0.00008172302,0.000171384,0.0003007076,0.001208115,0.000006710748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007745848,"about_ca_system_score_gemma":0.000398554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271273,"about_ca_topic_score_gemma":0.0004168915,"domain_scores_codex":[0.9944218,0.001941479,0.0009656185,0.0009475778,0.000552247,0.001171246],"domain_scores_gemma":[0.9965585,0.001703107,0.0006947693,0.0003939394,0.0001873388,0.0004623276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002288258,0.0007641547,0.9837553,0.000712471,0.0001831821,9.156416e-7,0.009607245,0.000005098199,0.000004255164,0.00002418361,0.0006184935,0.004095903],"study_design_scores_gemma":[0.009020812,0.006929917,0.9711227,0.0001415267,0.0001043051,1.034399e-7,0.008499188,0.0001934279,0.000001216038,0.0001369656,0.003592326,0.0002575223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532539,0.00255153,0.000001116757,0.0006217364,0.0001312312,0.04296517,0.000255874,0.0001424663,0.00007701654],"genre_scores_gemma":[0.8698605,0.0003651664,0.00002947343,0.0007201193,0.0001490989,0.1286192,0.00009124001,0.00004858636,0.0001166312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08565401,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017199448249278,"score_gpt":0.3316981601189269,"score_spread":0.3215261656364342,"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."}}