{"id":"W1522486528","doi":"","title":"Unemployment, status in employment and wages in Morocco","year":2006,"lang":"en","type":"article","venue":"Applied econometrics and international development","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microdata (statistics); Unemployment; Economics; Labour economics; Discouraged worker; Work (physics); Demographic economics; Unemployment rate; Economic growth; Population; Census","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006515647,0.0001364787,0.0001735647,0.0008387794,0.0008164789,0.0008874286,0.0002304775,0.0003421187,0.001362861],"category_scores_gemma":[0.00162509,0.0001324493,0.0002614071,0.0007127553,0.0003311987,0.0003181985,0.0006519302,0.0003971224,0.0002226767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590522,"about_ca_system_score_gemma":0.0006259821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1480553,"about_ca_topic_score_gemma":0.1492293,"domain_scores_codex":[0.9997075,0.00006170636,0.00001177673,0.0000299317,0.00003321071,0.0001557226],"domain_scores_gemma":[0.9992527,0.0001146248,0.000329301,0.00002393787,0.00007280221,0.0002066505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005910918,0.00004710762,0.994078,0.000009471757,0.00002680274,0.0001454153,0.001006763,0.0001495011,0.0001288607,0.0002896723,0.0002570546,0.003802201],"study_design_scores_gemma":[0.000001394171,0.00001246719,0.9988475,0.000009955971,0.00000602479,0.00001964298,0.0005465785,0.0001511309,0.00002143892,0.00003676292,0.0003450902,0.000002112002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989304,0.0003232675,0.00001200587,0.000161489,0.000004990218,0.000001866288,0.000112032,6.112811e-7,0.0004532691],"genre_scores_gemma":[0.9995202,0.0001354304,0.00001163854,0.00001819431,0.000006051486,0.00000156193,0.0000773601,4.245634e-7,0.0002291162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480553,"threshold_uncertainty_score":0.294387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832239816443656,"score_gpt":0.2238796050935249,"score_spread":0.1955572069290884,"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."}}