{"id":"W4294990861","doi":"10.2196/37343","title":"Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Council NSW; NSW Ministry of Health; University of New South Wales; Commonwealth Scientific and Industrial Research Organisation","keywords":"Medicine; Cohort; Type 2 Diabetes Mellitus; Type 2 diabetes; Diabetes mellitus; Gerontology; Disease; Cross-sectional study; Cohort study; Internal medicine; Pathology","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":[0.001238248,0.0003133513,0.0004704274,0.001072355,0.0008782871,0.0008255718,0.000630897,0.0006797486,0.001099302],"category_scores_gemma":[0.002577825,0.0007506884,0.0007963486,0.002118347,0.0003051443,0.0009604073,0.001347126,0.001020554,0.0004880911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007846533,"about_ca_system_score_gemma":0.0006494747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09515119,"about_ca_topic_score_gemma":0.09297831,"domain_scores_codex":[0.9990016,0.0002149596,0.0001660526,0.0002347113,0.0002547213,0.000127992],"domain_scores_gemma":[0.9986519,0.00009258895,0.0005380472,0.0001358712,0.0002821269,0.000299372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002985115,0.00008147129,0.9977876,0.00003844997,0.00006899716,0.00006945884,0.0008039655,0.00001643526,0.0001716441,0.00001525695,0.0002306288,0.0006862687],"study_design_scores_gemma":[0.00000228166,0.00003539487,0.9993334,0.000009880915,0.0000163441,0.00005915514,0.0003313257,0.000053803,0.000008378965,0.000006228874,0.0001408488,0.000002882171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997439,0.0001994171,0.0001208338,0.0001074142,0.000008261172,0.00008942322,0.001486116,0.000003999633,0.0005454829],"genre_scores_gemma":[0.9973946,0.0003610062,0.0002814615,0.0002174234,0.00001198975,0.0001667725,0.001009275,0.000003586254,0.000553832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09515119,"threshold_uncertainty_score":0.1891947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897716429756268,"score_gpt":0.447432182333833,"score_spread":0.3576605393582062,"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."}}