{"id":"W4406863868","doi":"10.2196/64832","title":"Digital Innovation and Integrated Care in People With Diabetes in Western Sydney: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Retrospective cohort study; Cohort; Medicine; Gerontology; Computer science; Internal medicine; World Wide Web","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":[0.0005037864,0.000208454,0.0005122672,0.0006547805,0.0002738145,0.00003086943,0.0001238153,0.0001730983,0.00001893348],"category_scores_gemma":[0.0002144205,0.0001765611,0.00001243235,0.002589833,0.00005563851,0.0002273509,0.00009304415,0.0007329799,0.00001703299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006720736,"about_ca_system_score_gemma":0.0006672773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003076275,"about_ca_topic_score_gemma":0.01299041,"domain_scores_codex":[0.9977257,0.0001996443,0.0007418804,0.0005106048,0.0001778563,0.0006443333],"domain_scores_gemma":[0.9986756,0.0003497893,0.0001952293,0.0003361969,0.000343436,0.00009976115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003272802,0.0002091697,0.9915602,0.0004920121,0.00001340858,5.35463e-7,0.001951156,0.000001319793,0.00001027677,0.0004880241,0.0002695915,0.00497154],"study_design_scores_gemma":[0.001659561,0.0002609885,0.9877514,0.0005282295,0.000009609419,1.999514e-8,0.006834139,0.00007117013,0.000007962413,0.0002266157,0.002511774,0.000138494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860857,0.0002002298,0.000004610994,0.0006417113,0.0001084905,0.009854878,0.00006631426,0.00009798643,0.002940038],"genre_scores_gemma":[0.9700801,0.0000161915,0.00002254718,0.0007845476,0.00003168403,0.02832833,0.0001902961,0.00002249263,0.0005237671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847345,"threshold_uncertainty_score":0.7248952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062846107222765,"score_gpt":0.3528507874061657,"score_spread":0.3422223263339381,"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."}}