{"id":"W4385290240","doi":"10.1093/workar/waad021","title":"Engaging Mature-Age Workers Through Mature-Age Practices: Examining the Roles of Focus on Opportunities and Work Centrality","year":2023,"lang":"en","type":"article","venue":"Work Aging and Retirement","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Science Foundation of Ministry of Education of China; National Natural Science Foundation of China","keywords":"Centrality; Workforce; Aging in the American workforce; Work (physics); Successful aging; Information Age; Psychology; Sociology; Political science; Demography; Economic growth; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00230067,0.0002536471,0.0002566636,0.0006582754,0.0006434105,0.001143739,0.000442123,0.0003661039,0.002632797],"category_scores_gemma":[0.007587014,0.0001761934,0.0002716351,0.0004604615,0.0007317582,0.0008897561,0.001742326,0.0005328064,0.0001382772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007011537,"about_ca_system_score_gemma":0.001207775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005395952,"about_ca_topic_score_gemma":0.01827978,"domain_scores_codex":[0.9990845,0.0004671919,0.00003792776,0.0001327035,0.0001195022,0.0001582477],"domain_scores_gemma":[0.9918246,0.003911005,0.002205251,0.0003083914,0.0004127178,0.001338162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001812222,0.000483688,0.951282,0.000106319,0.00008258033,0.0001149561,0.01997087,0.0001314553,0.0009001999,0.0008646123,0.0001743218,0.02570797],"study_design_scores_gemma":[0.000005913676,0.0001201372,0.9880173,0.00004943259,0.00002580813,0.00001835163,0.01055198,0.0003515194,0.0001212054,0.0003149151,0.000416879,0.000006595055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988602,0.00008419495,0.0002071831,0.00006356932,0.000002523509,0.000006837103,0.0000188897,0.000001206438,0.0007553386],"genre_scores_gemma":[0.9995828,0.00005063228,0.0001795997,0.00001300963,0.000002110491,0.000008872706,0.00001389451,5.507383e-7,0.0001484612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005395952,"threshold_uncertainty_score":0.01216722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3294174419437977,"score_gpt":0.4082212067663132,"score_spread":0.07880376482251555,"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."}}