{"id":"W2810272720","doi":"10.1093/abm/kay046","title":"Time Perspective and All-Cause Mortality: Evidence From the English Longitudinal Study of Ageing","year":2018,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Psychological and Temporal Perspectives Research","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Research Executive Agency; Economic and Social Research Council; Horizon 2020 Framework Programme; European Commission","keywords":"Demography; Medicine; Gerontology; Perspective (graphical); Causality (physics); Socioeconomic status; Confidence interval; Cohort study; Time perspective; Longitudinal study; Psychology; Population; Environmental health; Internal medicine; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008370989,0.000176802,0.0004480414,0.000087963,0.0000815673,0.000009338447,0.0003954951,0.00008754402,0.002572057],"category_scores_gemma":[0.0004011219,0.00010415,0.00005748454,0.0003357812,0.001786207,0.0001320178,0.000155926,0.0003019477,0.00002547745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001267474,"about_ca_system_score_gemma":0.00001338174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02198161,"about_ca_topic_score_gemma":0.000503898,"domain_scores_codex":[0.9978694,0.000375872,0.0004104889,0.0005143806,0.0005351737,0.0002946767],"domain_scores_gemma":[0.9977294,0.0004924893,0.0002024784,0.0005891887,0.0008519169,0.000134536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001358281,0.003679438,0.7450556,0.000009327345,0.00163095,0.0003870976,0.2227018,1.436094e-7,0.005428004,0.0007364611,0.01425907,0.004753857],"study_design_scores_gemma":[0.0008589171,0.008033722,0.921505,0.0001398406,0.0002990258,0.000003377981,0.06788111,0.000002274023,0.0001625301,0.0009220613,0.00008547642,0.0001066444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924161,0.002139231,0.000004415706,0.002007916,0.000235154,0.0004782138,0.0000238071,0.00002648578,0.002668637],"genre_scores_gemma":[0.9989104,0.0001215994,0.00001251627,0.0001498183,0.0005606519,0.00002133217,0.000003108762,0.00001204779,0.0002085699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764494,"threshold_uncertainty_score":0.9983397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5283801518977655,"score_gpt":0.5552949325526734,"score_spread":0.02691478065490782,"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."}}