{"id":"W2554460942","doi":"10.1057/978-1-137-46781-2_28","title":"Career Management Over the Life-Span","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Retirement age; Life expectancy; Population ageing; Developed country; Statutory law; German; Demographic economics; Population; Political science; Economic growth; Economics; Geography; Demography; Sociology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008919818,0.0005484985,0.0004700832,0.0001202072,0.0007911765,0.000180448,0.001051859,0.0003635182,0.004018264],"category_scores_gemma":[0.00004310882,0.0003561564,0.0004635928,0.00002288996,0.001113046,0.000001238725,0.0003918758,0.0002727311,0.0007900997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592514,"about_ca_system_score_gemma":0.000153737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006723289,"about_ca_topic_score_gemma":0.003322406,"domain_scores_codex":[0.9963832,0.0001451209,0.0005330446,0.0007465478,0.00139549,0.0007966136],"domain_scores_gemma":[0.9978955,0.0001647162,0.0002872559,0.001149441,0.0001237911,0.0003792708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000182849,7.026491e-7,0.0008934084,0.0000557208,0.0003020832,0.00001525316,0.002632885,1.547504e-7,0.00000178145,0.9752279,0.0008304549,0.02002138],"study_design_scores_gemma":[0.0002900621,0.00003904081,0.001496441,0.0001505716,0.000195313,4.664552e-7,0.0005579695,4.129532e-7,0.000003940544,0.7632524,0.2335225,0.0004908865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001712233,0.000659298,0.00002701175,0.000882821,0.001156615,0.001564234,0.00008257426,0.0001405396,0.9953157],"genre_scores_gemma":[0.8344617,0.0005895591,0.00001941194,0.0007955062,0.001218911,0.0001005661,0.00001156621,0.00007814629,0.1627246],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8342906,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307538160417359,"score_gpt":0.3417426301366587,"score_spread":0.2109888140949228,"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."}}