{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002816273,0.0004487725,0.0004935488,0.001858946,0.002783575,0.001019576,0.001283151,0.0004173844,0.002002333],"category_scores_gemma":[0.005338205,0.0002553079,0.0009980748,0.004909721,0.0005132346,0.0004586822,0.001227064,0.0008338459,0.0001656782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005523,"about_ca_system_score_gemma":0.0214536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867954,"about_ca_topic_score_gemma":0.9912608,"domain_scores_codex":[0.9988075,0.0001025637,0.00009721128,0.0002448233,0.0004972029,0.0002507039],"domain_scores_gemma":[0.9951368,0.0003269543,0.0008005089,0.0002808514,0.002830775,0.0006241208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000468603,0.00001148057,0.9925153,0.00008786507,0.0001393519,0.00002723737,0.0004502359,0.00007406506,0.00006742441,0.0001943352,0.001722854,0.004663111],"study_design_scores_gemma":[0.000002707291,0.000006590149,0.9983867,0.0000523069,0.00007021888,0.0000199668,0.0003060994,0.0001386934,0.00002297108,0.00004371814,0.0009434032,0.000006464829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555128,0.008580898,0.001078517,0.0020127,0.00009134049,0.0001057328,0.02705534,0.00003560261,0.005527027],"genre_scores_gemma":[0.9876061,0.002497359,0.001020967,0.0003553715,0.00002219018,0.0000548067,0.007653745,0.00001031364,0.0007791485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320457,"threshold_uncertainty_score":0.07295614,"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."}}