{"id":"W2095766657","doi":"10.7202/602301ar","title":"Comment lutter contre le chômage lorsque les travailleurs sont hétérogènes?","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.002821957,0.000179812,0.0004417198,0.0006436282,0.00226088,0.003839068,0.0009979778,0.002740874,0.01160885],"category_scores_gemma":[0.009946294,0.0001898877,0.0002955418,0.0008747773,0.006508825,0.005415895,0.00193256,0.002324149,0.001222561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002494914,"about_ca_system_score_gemma":0.002451878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389072,"about_ca_topic_score_gemma":0.02038491,"domain_scores_codex":[0.9983793,0.000532595,0.00005831524,0.0003826625,0.0002797888,0.0003672385],"domain_scores_gemma":[0.9962696,0.00152766,0.0008689016,0.000387242,0.0005665064,0.0003801148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001009521,0.00004332797,0.01447715,0.00009745597,0.00002378272,0.0002085592,0.007525857,0.0008522558,0.001093669,0.9414175,0.003962156,0.03019742],"study_design_scores_gemma":[0.00006607185,0.0001068092,0.04086182,0.0003139619,0.00003024531,0.0003441085,0.01784172,0.003457485,0.001096793,0.8403048,0.09551537,0.00006096758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4976252,0.004660697,0.0767263,0.2400198,0.0007544219,0.00007354309,0.0003385823,0.0001167084,0.1796847],"genre_scores_gemma":[0.9744272,0.0008076339,0.0040537,0.003226119,0.000227023,0.00004316174,0.00004882831,0.00002647715,0.01713989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389072,"threshold_uncertainty_score":0.03883541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604492555348315,"score_gpt":0.2254491046897492,"score_spread":0.189404179136266,"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."}}