{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02474725,0.0008115349,0.0007596482,0.0009067367,0.0008410372,0.0007899289,0.0009292061,0.0010007,0.00253588],"category_scores_gemma":[0.01870475,0.000646691,0.001114968,0.000400249,0.001042941,0.000764059,0.001154721,0.0007047739,0.0006071503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026147,"about_ca_system_score_gemma":0.004844968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655303,"about_ca_topic_score_gemma":0.002816881,"domain_scores_codex":[0.9938982,0.003309603,0.0007651615,0.0007193627,0.0009330211,0.0003745955],"domain_scores_gemma":[0.9859428,0.006549309,0.0009428675,0.001193926,0.004827329,0.0005436463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02482487,0.1304488,0.2759477,0.01601383,0.001420136,0.004807977,0.06952503,0.004112153,0.03901991,0.003221429,0.01151973,0.4191383],"study_design_scores_gemma":[0.02759738,0.2513129,0.5121369,0.006221662,0.003584279,0.003405173,0.02763968,0.01048708,0.0299598,0.002669083,0.124358,0.0006280432],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8969554,0.0005976571,0.01374249,0.0002122687,0.00007442305,0.08495122,0.0007307499,0.00008922986,0.002646605],"genre_scores_gemma":[0.6912477,0.001503197,0.09674742,0.001268205,0.00008860545,0.2036272,0.001183774,0.00007204754,0.004261824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02474725,"threshold_uncertainty_score":0.1308776,"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."}}