{"id":"W1560244412","doi":"10.1108/13620431211225331","title":"Intention to unretire","year":2012,"lang":"en","type":"article","venue":"Career Development International","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Windsor","funders":"","keywords":"Workforce; Pension; Originality; Value (mathematics); Retirement age; Aging in the American workforce; Business; Retirement planning; Baby boomers; Demographic economics; Labour economics; Economics; Actuarial science; Economic growth; Psychology; Finance; 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":[0.0007222068,0.00008716681,0.00007091749,0.00008467105,0.0002217414,0.00007213894,0.0003097137,0.00004780594,0.002020071],"category_scores_gemma":[0.0001984902,0.00008782152,0.00004480713,0.0001210929,0.00006092886,0.0002585823,0.0001043984,0.00005459168,0.0007094557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007218118,"about_ca_system_score_gemma":0.0001163521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017198,"about_ca_topic_score_gemma":0.0003518863,"domain_scores_codex":[0.9985455,0.00004820212,0.0002073508,0.0001596199,0.0007132306,0.0003260971],"domain_scores_gemma":[0.9994012,0.00002564575,0.00003961756,0.0000922655,0.0002143329,0.00022694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001237535,0.0001464469,0.8834267,0.00000757375,0.00005291511,6.983285e-7,0.03654322,0.000001398023,0.0001236728,0.03011399,0.01218405,0.03738697],"study_design_scores_gemma":[0.0001128122,0.000007571986,0.2160599,0.00002313303,0.000004289689,4.769701e-7,0.003739828,0.000001872464,0.0007957441,0.0002424085,0.7788563,0.0001556697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7696608,0.00004010235,0.002030085,0.004312145,0.005912585,0.000367703,0.000005676855,0.0001115692,0.2175594],"genre_scores_gemma":[0.9871279,0.00000922308,0.002100076,0.0006628647,0.0003805726,0.00007255468,0.00004242371,0.000007958439,0.009596412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7666723,"threshold_uncertainty_score":0.9988922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2866170024538599,"score_gpt":0.4252593606936032,"score_spread":0.1386423582397433,"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."}}