{"id":"W1998188364","doi":"10.1177/001979390305600409","title":"Work History and Later-Life Labor Force Participation: Evidence from a Large Telecommunications Firm","year":2003,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Labour economics; Demographic economics; Part-time employment; Survey data collection; Work hours; Economics; Working hours; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001277603,0.0001180881,0.0002472258,0.00002832202,0.0004236909,0.00005290468,0.0001395927,0.0001390552,0.00188632],"category_scores_gemma":[0.003965984,0.0001073098,0.00004760393,0.0004403164,0.0002266267,0.0003112571,0.0000407388,0.0002217291,0.00004539083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787563,"about_ca_system_score_gemma":0.0003540789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007364483,"about_ca_topic_score_gemma":0.0009211284,"domain_scores_codex":[0.9980211,0.0008451449,0.0004302518,0.0002454676,0.0002261131,0.0002318949],"domain_scores_gemma":[0.9985569,0.0006192626,0.0001577416,0.0003309877,0.0001199541,0.0002152105],"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":[0.00001639466,0.000216144,0.871998,0.0001235755,0.00007129872,8.04462e-7,0.007128777,0.000004540723,0.000003774623,0.03998234,0.07015162,0.0103027],"study_design_scores_gemma":[0.0003040942,0.00002222156,0.03401772,0.001196704,0.0001428255,1.213667e-7,0.0002700902,0.000003950524,9.885861e-7,0.0007946274,0.9631024,0.0001442341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.39703,0.5562651,0.00003581086,0.03499001,0.0005934749,0.001834152,0.00006220361,0.0001459248,0.009043398],"genre_scores_gemma":[0.8198308,0.1696614,0.0004698284,0.001791369,0.0002782198,0.0003561681,0.00003382266,0.00002170427,0.007556675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8929508,"threshold_uncertainty_score":0.9990261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3832715330894542,"score_gpt":0.4313210850565714,"score_spread":0.04804955196711724,"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."}}