{"id":"W2162115989","doi":"10.7202/007244ar","title":"Modes de recherche d’emploi et durée de chômage des jeunes : applications microéconométriques au Panel Téléphonique du CEREQ","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; 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":[0.004634764,0.0003261794,0.0005211955,0.001641971,0.0005581476,0.003342381,0.0006947003,0.001010573,0.005431725],"category_scores_gemma":[0.02034741,0.0004276062,0.0006741494,0.002630559,0.0006576364,0.001485616,0.0009882631,0.00109649,0.0005244109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173489,"about_ca_system_score_gemma":0.001446446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04796994,"about_ca_topic_score_gemma":0.05208581,"domain_scores_codex":[0.997906,0.001126699,0.00008697698,0.0004122785,0.0002916184,0.0001764923],"domain_scores_gemma":[0.9554489,0.03721077,0.00408593,0.001533088,0.001181021,0.0005403789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007442088,0.0001841168,0.82384,0.0003341793,0.0005818305,0.0003355787,0.009745584,0.07886279,0.003465888,0.01819099,0.0008104144,0.06290439],"study_design_scores_gemma":[0.00005455661,0.0002509006,0.8348123,0.0001708763,0.0002480575,0.0002169985,0.007457702,0.1331705,0.003406498,0.0116397,0.008450422,0.0001215043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753386,0.0005366076,0.01884206,0.0003638423,0.000008637645,0.00005216062,0.0009849094,0.00004128756,0.003831954],"genre_scores_gemma":[0.9884913,0.0002414006,0.007717272,0.00001824955,0.00001073816,0.00005231943,0.0004337636,0.00001469045,0.003020282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04796994,"threshold_uncertainty_score":0.09538144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2737208489045917,"score_gpt":0.3231547333823354,"score_spread":0.04943388447774366,"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."}}