{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719885,0.0005387402,0.0005931937,0.0006013945,0.0007964586,0.001280314,0.0005642045,0.0009839869,0.001708502],"category_scores_gemma":[0.002286523,0.0008248333,0.001576383,0.001086087,0.0002558627,0.0008097065,0.001136329,0.001704413,0.0005772989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003936499,"about_ca_system_score_gemma":0.0004417502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152048,"about_ca_topic_score_gemma":0.01774981,"domain_scores_codex":[0.999109,0.0002292505,0.0001184545,0.0002488486,0.0001669222,0.000127532],"domain_scores_gemma":[0.9985363,0.0001844868,0.0004341164,0.0002756042,0.0002731217,0.000296356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001206844,0.0002840653,0.9950203,0.00008321866,0.000676916,0.00007963653,0.0001537664,0.00003308578,0.000229955,0.00003277209,0.0007771986,0.001422298],"study_design_scores_gemma":[0.0002575404,0.0005125733,0.9974319,0.0000398341,0.0003878432,0.0001214906,0.0002671074,0.0001766424,0.00004634946,0.00002378736,0.0007201257,0.00001478378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939698,0.000723159,0.0001981218,0.0001667915,0.00003871568,0.0001703329,0.003674557,0.00001113732,0.001047482],"genre_scores_gemma":[0.9947525,0.0004418957,0.0004461007,0.0003057811,0.0000492163,0.000312606,0.00278792,0.000009674328,0.0008942399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152048,"threshold_uncertainty_score":0.02290684,"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."}}