{"id":"W4414616007","doi":"10.2196/75174","title":"Digital Isolation and Depression Risk in Older Adults Using the National Health and Aging Trends Study Database: 8-Year Longitudinal Study","year":2025,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Longitudinal study; Mental health; Isolation (microbiology); Public health; Social isolation; Association (psychology); Digital literacy; Digital health","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":[0.0009296764,0.0001145035,0.0001456861,0.0003687367,0.0008772195,0.0001918295,0.0001490679,0.00004287397,0.000004500507],"category_scores_gemma":[0.0002218564,0.0000962552,0.00001427085,0.000716512,0.0001179989,0.0005733741,0.0002302452,0.0002704023,3.926082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283704,"about_ca_system_score_gemma":0.0001074955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451462,"about_ca_topic_score_gemma":0.008987306,"domain_scores_codex":[0.9985279,0.0002423049,0.0002320771,0.00040742,0.000340682,0.0002495585],"domain_scores_gemma":[0.9994579,0.0001715926,0.0001207541,0.0001405242,0.0000598598,0.00004935299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001580234,0.0002119832,0.9338179,0.000009212154,0.0000138593,0.000002610442,0.0364319,0.000008001964,0.000001467872,0.00004593443,0.00006714585,0.02937417],"study_design_scores_gemma":[0.00129944,0.00003028065,0.9084857,0.0001833521,0.000008004061,0.000001037873,0.0883258,0.001451835,9.619851e-7,0.00006762332,0.00006011504,0.00008587294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972913,0.0003141498,0.0002794157,0.0007543434,0.00007998899,0.0007805823,0.00001023631,0.00008616994,0.0004038366],"genre_scores_gemma":[0.9996218,0.00001793001,0.0001220743,0.00004677982,0.00005389559,0.00003789986,0.000004956307,0.000007366863,0.00008726306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05189389,"threshold_uncertainty_score":0.6746952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830915910637432,"score_gpt":0.3745655978858218,"score_spread":0.3462564387794475,"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."}}