{"id":"W2093844805","doi":"10.2190/ag.76.2.a","title":"The Value of Adaptive Regret Management in Retirement","year":2013,"lang":"en","type":"article","venue":"The International Journal of Aging and Human Development","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canadian Institutes of Health Research","keywords":"Regret; Disengagement theory; Life satisfaction; Longitudinal study; Psychology; Value (mathematics); Quality of life (healthcare); Baseline (sea); Everyday life; Demographic economics; Social psychology; Gerontology; Economics; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001975149,0.00006803896,0.00009653463,0.00007141285,0.0003148462,0.0001062526,0.0005212249,0.00001522577,0.00006243328],"category_scores_gemma":[0.00002618469,0.00003951659,0.00003893825,0.0000514598,0.0002307084,0.00009992309,0.0001175794,0.00009876577,0.000003463027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866892,"about_ca_system_score_gemma":0.00007808077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007470663,"about_ca_topic_score_gemma":0.0005523724,"domain_scores_codex":[0.9984189,0.0001158127,0.0004567865,0.00007916214,0.0007848818,0.0001444751],"domain_scores_gemma":[0.9993028,0.00009444751,0.000266676,0.00007757666,0.0002162547,0.00004222211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001258774,0.0004699972,0.1464849,0.00004301803,0.001163498,0.00002388907,0.143711,0.0001724047,0.0001622638,0.542664,0.0105122,0.154467],"study_design_scores_gemma":[0.001574683,0.0001781169,0.822888,0.000704888,0.00004223315,0.000005830391,0.05073382,0.000046459,0.001073599,0.07256626,0.04992968,0.0002564444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979263,0.0001729309,0.00002930271,0.007467348,0.0002862,0.0002098698,1.826899e-7,0.000003586788,0.01256756],"genre_scores_gemma":[0.9978623,0.0003644961,0.0004240183,0.0001216182,0.00009165863,0.00001068408,3.207633e-7,0.000003497123,0.001121409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676403,"threshold_uncertainty_score":0.2421574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354881181630453,"score_gpt":0.3922400117674026,"score_spread":0.2567518936043572,"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."}}