{"id":"W1991721935","doi":"10.3917/riges.382.0030","title":"Gestion des travailleurs âgés : les stéréotypes à contrer","year":2013,"lang":"fr","type":"article","venue":"Gestion","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006166019,0.0004256577,0.0003477054,0.001060533,0.007628585,0.005048795,0.000621838,0.002171311,0.005859408],"category_scores_gemma":[0.008812059,0.0002373242,0.000373278,0.0005705775,0.009499428,0.00506033,0.003965657,0.002869271,0.001094538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533715,"about_ca_system_score_gemma":0.003424398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026243,"about_ca_topic_score_gemma":0.02683426,"domain_scores_codex":[0.9947212,0.003100382,0.0001782269,0.0004365625,0.0009215265,0.0006421615],"domain_scores_gemma":[0.9935703,0.002463837,0.001415621,0.000480111,0.0008576447,0.001212452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008830031,0.00006747351,0.03848521,0.00009292945,0.00001819988,0.0005285775,0.8587811,0.0001116721,0.001141993,0.06420676,0.005704289,0.03077355],"study_design_scores_gemma":[0.00001826192,0.0001966062,0.04447122,0.0004954378,0.00002100103,0.0008807817,0.7898588,0.0002115966,0.000568187,0.01859188,0.1445997,0.00008664341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298947,0.004481023,0.00663304,0.03994612,0.0008250016,0.00004444559,0.0001122884,0.00004790792,0.1180155],"genre_scores_gemma":[0.9833929,0.001112472,0.0006669101,0.001949071,0.0001171028,0.00002512708,0.00002169735,0.00002040189,0.01269426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02026243,"threshold_uncertainty_score":0.04028898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039895295640327,"score_gpt":0.3707085183639896,"score_spread":0.1667189887999569,"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."}}