{"id":"W4386878554","doi":"10.1159/000534015","title":"Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on Aging","year":2023,"lang":"en","type":"article","venue":"Gerontology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health; University of Alberta","funders":"Alberta Innovates; Mitacs; Canada Research Chairs; University of Alberta","keywords":"Gerontology; Successful aging; Longitudinal study; Ageing; Healthy aging; Psychology; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001616781,0.0001885454,0.0002631751,0.0001222327,0.0004174531,0.00004523869,0.0001116182,0.0001300082,0.00002898914],"category_scores_gemma":[0.00002218447,0.0002084897,0.00003379106,0.00005146554,0.00008339238,0.000005659509,0.0001047023,0.0001842937,0.00001785053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665599,"about_ca_system_score_gemma":0.00007493007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01076898,"about_ca_topic_score_gemma":0.04952741,"domain_scores_codex":[0.9985938,0.0001414282,0.0002227875,0.0005055744,0.0001062298,0.0004301977],"domain_scores_gemma":[0.9993941,0.00003872397,0.00008948466,0.0002265092,0.00001504545,0.0002360953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002924115,0.00004287283,0.9939186,0.000006717823,0.0001121464,0.000004849792,0.001610264,0.000004373479,0.0006633371,0.00005411172,0.001610357,0.001969445],"study_design_scores_gemma":[0.0005569881,0.0002170409,0.9951101,0.00000674538,0.00004665711,0.000002857596,0.0004399353,0.00001391707,0.0001269625,0.0001710015,0.003121312,0.0001864887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952642,0.0009658092,0.0003868281,0.002193472,0.0003517848,0.0002554083,0.0005343565,0.00002377522,0.00002437415],"genre_scores_gemma":[0.9967264,0.000750648,0.00006207325,0.0002128766,0.0007050682,0.00001659423,0.001449274,0.00002198939,0.00005506725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03875843,"threshold_uncertainty_score":0.9958184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174702289669338,"score_gpt":0.3139658609763031,"score_spread":0.2722188380796097,"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."}}