{"id":"W3125820278","doi":"10.2139/ssrn.2954252","title":"Benefits of a Supportive Development Climate for Older Workers","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Business; Psychology; Gerontology; Environmental planning; Medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002530011,0.0001083986,0.0001823824,0.00005889533,0.0008091672,0.00001779684,0.000226205,0.00006310167,0.00006875786],"category_scores_gemma":[0.00009400877,0.00009681017,0.0001316572,0.0001449445,0.0001858397,0.0001352823,0.00002436273,0.000305652,0.000008998378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103501,"about_ca_system_score_gemma":0.003859411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002043774,"about_ca_topic_score_gemma":0.004557949,"domain_scores_codex":[0.9969391,0.00007912365,0.0003866916,0.0001669732,0.0004347038,0.001993398],"domain_scores_gemma":[0.9993504,0.00006145277,0.0002169306,0.00008747906,0.0001704821,0.0001133135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000307212,0.0006971931,0.6600702,0.00006061836,0.0004690116,0.000001472494,0.06086585,0.0001089656,0.00004080648,0.1836334,0.001023415,0.09272181],"study_design_scores_gemma":[0.006782918,0.001893649,0.5754979,0.0003794628,0.0002515215,0.0001255239,0.2201221,0.00001802881,0.002977744,0.151236,0.03915728,0.001557885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942523,0.0007656009,0.0009268857,0.000659702,0.0002038791,0.000397006,0.000002898974,0.00001909218,0.002772622],"genre_scores_gemma":[0.9943593,0.003914931,0.0003138065,0.00003836141,0.0001680826,0.00002639005,0.00000316248,0.00001222678,0.00116373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1592563,"threshold_uncertainty_score":0.6846429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009666751458324,"score_gpt":0.3734231855951345,"score_spread":0.2724565104493021,"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."}}