{"id":"W2056874358","doi":"","title":"Attirer et retenir les travailleurs âgés : Le rôle de la flexibilité","year":2012,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001831695,0.0002300375,0.0002192816,0.0007064379,0.003722243,0.003686614,0.0006231326,0.001129201,0.009583542],"category_scores_gemma":[0.00261704,0.0001731144,0.0002447946,0.0005382952,0.003166778,0.002289276,0.001445045,0.001282347,0.0009976622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004727684,"about_ca_system_score_gemma":0.007958904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2676555,"about_ca_topic_score_gemma":0.4717723,"domain_scores_codex":[0.9994162,0.0001938581,0.00001521438,0.00007033923,0.0000910918,0.0002131538],"domain_scores_gemma":[0.9976329,0.0003951671,0.0004102189,0.00008546397,0.0004211891,0.001055112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004220804,0.0002031516,0.4102284,0.000347494,0.00009615561,0.001340994,0.3247095,0.0005421212,0.002909661,0.09800772,0.009984136,0.1512085],"study_design_scores_gemma":[0.00002194866,0.0002558067,0.6550725,0.0008699748,0.00008746063,0.0004293855,0.1966865,0.000488375,0.0008938749,0.0170668,0.1280335,0.00009388813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153113,0.007322771,0.001054735,0.01467087,0.0001164723,0.00002373017,0.0002527532,0.00001844129,0.061229],"genre_scores_gemma":[0.9780003,0.002340539,0.0003831935,0.0007266435,0.00003880197,0.00001676899,0.00004987354,0.000007651585,0.01843607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676555,"threshold_uncertainty_score":0.5321951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2248744590790524,"score_gpt":0.4510797129528917,"score_spread":0.2262052538738393,"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."}}