{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007261453,0.0002052052,0.0001990218,0.00004803012,0.000645749,0.0001679434,0.0001676614,0.0003244514,0.005443205],"category_scores_gemma":[0.0004064489,0.0002011204,0.0001091853,0.0002421359,0.001221497,0.0005798015,0.0000305777,0.0002056813,0.001848022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976046,"about_ca_system_score_gemma":0.0000697769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06769996,"about_ca_topic_score_gemma":0.006703739,"domain_scores_codex":[0.9977655,0.000592666,0.0003223052,0.0003610006,0.0004303335,0.000528189],"domain_scores_gemma":[0.9991012,0.0001489458,0.0001112107,0.0002032206,0.0002220472,0.000213367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001481112,0.0003257901,0.07938725,0.0001046314,0.00003612936,0.000001209945,0.01202765,0.0001572804,0.0004123115,0.02083023,0.01464175,0.872061],"study_design_scores_gemma":[0.0004007405,0.0002503856,0.9031886,0.0003186735,0.0001048494,0.000001922571,0.006082041,0.0003921031,0.0001966079,0.02598124,0.06273021,0.0003526009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151403,0.006271916,0.0003720359,0.05984483,0.001917272,0.0007081358,0.000008713807,0.0001206245,0.01561622],"genre_scores_gemma":[0.9543415,0.002746888,0.0002915542,0.0001244428,0.0005464488,0.00007941483,0.00001508208,0.00001810049,0.04183661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8717084,"threshold_uncertainty_score":0.9989291,"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."}}