{"id":"W2923089718","doi":"10.1007/s10433-019-00499-w","title":"Defining organizational contributions to sustaining an ageing workforce: a bibliometric review","year":2019,"lang":"en","type":"review","venue":"European Journal of Ageing","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Workforce; Human capital; Aging in the American workforce; Economic shortage; Human resources; Human resource management; Business; Workforce planning; Economic growth; Political science; Economics; Government (linguistics); Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01510273,0.001450851,0.006344192,0.05012277,0.0009167359,0.005153388,0.002270873,0.00201407,0.004701832],"category_scores_gemma":[0.06032877,0.001042386,0.00449879,0.05999008,0.002062747,0.004305692,0.003530646,0.00180672,0.0005418693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003770384,"about_ca_system_score_gemma":0.01671298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162284,"about_ca_topic_score_gemma":0.02839743,"domain_scores_codex":[0.9903516,0.002343846,0.003532554,0.0009987821,0.002468356,0.0003048583],"domain_scores_gemma":[0.922763,0.06157588,0.007779666,0.001099955,0.005781495,0.0009999755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002102062,0.00006841822,0.008701956,0.7282375,0.01208927,0.0001584146,0.0005261039,0.0003464011,0.0001693773,0.001691576,0.007815261,0.2399857],"study_design_scores_gemma":[0.0001716756,0.0001746317,0.05013032,0.7474838,0.09359941,0.0006736591,0.001937635,0.0003292589,0.0002720399,0.003356142,0.1017493,0.0001220988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008922474,0.9976545,0.0001124278,0.000450854,0.0001282417,0.00003721387,0.0003740101,0.000005663065,0.0003448054],"genre_scores_gemma":[0.006173376,0.9930072,0.0002380065,0.000192181,0.0001030925,0.00003827299,0.0002071988,0.000003283804,0.00003748025],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9498772,"threshold_uncertainty_score":0.07987183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2467445403644406,"score_gpt":0.4797484231778056,"score_spread":0.233003882813365,"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."}}