{"id":"W1542144358","doi":"10.2139/ssrn.1575856","title":"Wages and Immigrant Occupational Composition in Sweden","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn; Royal Swedish Academy of Sciences","keywords":"Immigration; Wage; Demographic economics; Composition (language); Sorting; Economics; Labour economics; Real wages; Geography","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":[0.0008841038,0.0003206478,0.0004838435,0.002263044,0.001987234,0.003007082,0.0006540343,0.0009506888,0.004387016],"category_scores_gemma":[0.003389864,0.0003168855,0.0005082728,0.001872415,0.0008553467,0.0008453445,0.002735764,0.0008854193,0.001017206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307207,"about_ca_system_score_gemma":0.001824553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06113794,"about_ca_topic_score_gemma":0.09457739,"domain_scores_codex":[0.9992353,0.0002132952,0.00005515385,0.00007421989,0.00006785366,0.000354191],"domain_scores_gemma":[0.9984143,0.0004211066,0.0003361428,0.00005696208,0.0001879106,0.0005835698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006607098,0.0002295586,0.9787339,0.00003555034,0.00008783257,0.0005950096,0.006603921,0.0008011931,0.0003427729,0.001436064,0.0007603553,0.009713139],"study_design_scores_gemma":[0.00003457458,0.0001270415,0.9687948,0.0001053248,0.00004451449,0.0002236621,0.02724832,0.0007228792,0.0001157831,0.0009993019,0.001565675,0.00001817684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990683,0.0001530371,0.00001370676,0.0001083807,0.000006178737,8.883599e-7,0.00004944463,0.000001659013,0.0005984199],"genre_scores_gemma":[0.998317,0.0001572553,0.00002117495,0.00002527418,0.000007131237,0.000004074156,0.0001630269,0.000003270905,0.001301801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06113794,"threshold_uncertainty_score":0.1215641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803817120131609,"score_gpt":0.2933584507033576,"score_spread":0.2853202795020415,"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."}}