{"id":"W4409613614","doi":"10.2196/71936","title":"An mHealth App (NeoMayor) to Promote Healthy Lifestyles and Brain Health in Older Adults: Design and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Gerontology; Psychology; Applied psychology; Medicine; Computer science; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004557908,0.0002971102,0.0005999065,0.0006909569,0.001573112,0.00003700151,0.0001983759,0.0001791032,0.00002144637],"category_scores_gemma":[0.0001821731,0.0002998562,0.00001864702,0.0009893402,0.00004037516,0.0002236744,0.0001320598,0.0008069516,0.00002157481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004621978,"about_ca_system_score_gemma":0.001868337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476,"about_ca_topic_score_gemma":0.001707788,"domain_scores_codex":[0.9942061,0.002003423,0.001366351,0.0009844127,0.0002267833,0.001212914],"domain_scores_gemma":[0.9970568,0.000743129,0.0003621943,0.0006188943,0.0001323442,0.001086671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008425361,0.001709925,0.3561222,0.006657624,0.00001858642,0.000005113367,0.0538276,0.00006963319,0.00003425964,0.002632119,0.01865396,0.5594264],"study_design_scores_gemma":[0.006492371,0.001621833,0.9421866,0.002487431,0.00001465223,0.000004051352,0.01293922,0.002654864,0.0000058907,0.0006696353,0.03053688,0.0003865805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821507,0.001049174,0.01203531,0.07191654,0.0002521713,0.03212851,0.00002104151,0.0003122904,0.0001343333],"genre_scores_gemma":[0.9258023,0.0005193342,0.007111823,0.04339426,0.0001922732,0.02261485,0.0000564687,0.00005728365,0.0002514445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860644,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402749373124608,"score_gpt":0.4518115857694625,"score_spread":0.4177840920382164,"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."}}