{"id":"W2266045336","doi":"","title":"Essays in labor market economics","year":2015,"lang":"en","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Unemployment; Humanities; Welfare economics; Persona; Geography; Economics; Economy; Philosophy; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002681617,0.001013194,0.0008224114,0.002518177,0.001616574,0.003880775,0.0008912536,0.002427379,0.0144235],"category_scores_gemma":[0.009731011,0.000383766,0.0008698779,0.002870008,0.004174131,0.004102143,0.00138936,0.004489881,0.004888896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002921346,"about_ca_system_score_gemma":0.001732051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352049,"about_ca_topic_score_gemma":0.001626033,"domain_scores_codex":[0.9984356,0.0005601359,0.00009053032,0.0002754918,0.0005369018,0.0001012771],"domain_scores_gemma":[0.9933436,0.004911328,0.0003249341,0.0003978308,0.0007712192,0.0002510623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003315772,0.00006802341,0.0007632736,0.0002885457,0.00003371616,0.00005840154,0.0004854171,0.0007772411,0.0001044828,0.4025126,0.5420797,0.05279538],"study_design_scores_gemma":[0.00001544462,0.00002051519,0.001479162,0.000587904,0.00001106412,0.00006179696,0.0002494612,0.0006186584,0.00005828336,0.2695305,0.7273517,0.00001550249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004098138,0.3363254,0.01471994,0.356552,0.06413433,0.0000457682,0.0008108431,0.000162617,0.223151],"genre_scores_gemma":[0.1219432,0.2999119,0.009209906,0.07167786,0.1931026,0.0002670342,0.001098686,0.0003963041,0.3023926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144235,"threshold_uncertainty_score":0.04825139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408983657079403,"score_gpt":0.2440409621070202,"score_spread":0.2199511255362262,"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."}}