{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839231,0.000168579,0.0003018572,0.00112231,0.00004086599,0.0001255199,0.0001311867,0.00007210802,0.0001206161],"category_scores_gemma":[0.0000308808,0.0002003961,0.00001996653,0.0004312843,0.000033577,0.0001453654,0.0001597981,0.0001121078,0.00002434071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897901,"about_ca_system_score_gemma":0.00002373525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008722302,"about_ca_topic_score_gemma":0.0006333415,"domain_scores_codex":[0.9982808,0.00000552424,0.0008626397,0.0004873005,0.00004862537,0.00031506],"domain_scores_gemma":[0.9995406,0.0000665347,0.0001970856,0.0001099659,0.00001664858,0.00006917284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009476817,0.00009873313,0.6386892,0.000008617735,0.00001487126,0.000002213996,0.0001072702,0.00008205052,0.000002971975,0.3545366,0.0000237725,0.006424268],"study_design_scores_gemma":[0.0009527585,0.00001031037,0.8705613,0.000007911059,7.057829e-7,8.887026e-7,0.00004499395,0.0008849591,0.00001915199,0.09075221,0.03651565,0.0002491611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583061,0.0009411781,0.0003239959,0.000346719,0.0001929339,0.0001997035,0.00006741087,0.00001235788,0.03960963],"genre_scores_gemma":[0.9963906,0.0009897522,0.001557328,0.0001943875,0.0000301085,0.00007741226,0.00008183531,0.00001612164,0.0006624081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637844,"threshold_uncertainty_score":0.8171914,"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."}}