{"id":"W2925494309","doi":"10.1093/workar/way015","title":"Getting the Hours You Want in the Preretirement Years: Work Hour Preferences and Mismatch Among Older Canadian Workers","year":2018,"lang":"en","type":"article","venue":"Work Aging and Retirement","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"","keywords":"Workforce; Preference; Work (physics); Work hours; Demographic economics; Sample (material); Psychology; Supervisor; Working hours; Social psychology; Labour economics; Management; Economics; Economic growth; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003129615,0.0002176405,0.0001905567,0.00008103156,0.001317784,0.0004564152,0.0004525533,0.0001265141,0.00009081219],"category_scores_gemma":[0.00007765421,0.000136532,0.00005368253,0.0005184007,0.001199937,0.0001019911,0.00009910611,0.0003412255,0.000008077385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246182,"about_ca_system_score_gemma":0.0001553183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09835012,"about_ca_topic_score_gemma":0.2057327,"domain_scores_codex":[0.9971866,0.0005278155,0.0003386971,0.0004707828,0.0006872512,0.0007888351],"domain_scores_gemma":[0.9990921,0.0001394157,0.0001170534,0.0003582994,0.00005145906,0.0002416635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008636341,0.00003320737,0.8680533,0.00001399023,0.00002572776,0.000003252424,0.1068784,0.000003138525,0.000001101659,0.0001905557,0.002711422,0.02207734],"study_design_scores_gemma":[0.0002498803,0.00004708899,0.9149022,0.0006447048,0.00004653827,3.534157e-7,0.07264029,0.000009642762,0.00000869677,0.0005821999,0.01062079,0.000247671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762059,0.0008518,0.000004742187,0.01464111,0.0004332729,0.0009225226,0.000001607187,0.0000381803,0.006900815],"genre_scores_gemma":[0.9980201,0.0003107626,0.00007532883,0.000678205,0.0003829952,0.00009257685,0.000002556193,0.00001538089,0.0004221419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073826,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09316190485764114,"score_gpt":0.3468894578149532,"score_spread":0.2537275529573121,"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."}}