{"id":"W4395663721","doi":"10.1101/2024.04.25.24306359","title":"Pace of Aging in older adults matters for healthspan and lifespan","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Canadian Institute for Advanced Research; Sage Foundation","keywords":"Pace; Population ageing; Gerontology; Longevity; Healthy aging; Affect (linguistics); Population; Successful aging; Psychology; Medicine; Environmental health; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004609329,0.0003229395,0.0005026466,0.001100791,0.0008123763,0.002117884,0.000361674,0.0007753451,0.004639311],"category_scores_gemma":[0.02094038,0.0002007988,0.0008630184,0.001728387,0.0009569487,0.002317608,0.00161273,0.001089427,0.0005306086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467338,"about_ca_system_score_gemma":0.001189025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233047,"about_ca_topic_score_gemma":0.003825039,"domain_scores_codex":[0.9988852,0.0004490037,0.00006386441,0.0002976767,0.0002013297,0.0001029507],"domain_scores_gemma":[0.9944537,0.002296872,0.001361821,0.0008695316,0.0004963797,0.0005216928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002622044,0.0001435447,0.7417819,0.0002840983,0.0003464252,0.0001162385,0.004032998,0.001522993,0.0008645355,0.0622096,0.01377341,0.174662],"study_design_scores_gemma":[0.00003709172,0.000217749,0.8264945,0.0003409114,0.0002463252,0.0002677425,0.00354784,0.003647845,0.0007421104,0.1141763,0.05021576,0.00006575289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050341,0.01510498,0.06224484,0.03497207,0.002380959,0.0003092961,0.009076849,0.0003944708,0.07048251],"genre_scores_gemma":[0.9738953,0.004364298,0.01375119,0.001864134,0.0007420858,0.0001880611,0.001281522,0.00008611972,0.003827264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004639311,"threshold_uncertainty_score":0.02437675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648624516298773,"score_gpt":0.359042453445978,"score_spread":0.3325562082829903,"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."}}