{"id":"W4241141285","doi":"10.2139/ssrn.3799818","title":"Income Dynamics of Immigrants and Natives in Sweden 1985-2016","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Earnings growth; Economics; Recession; Immigration; Volatility (finance); Inequality; Demographic economics; Labour economics; Download; Political science; Macroeconomics; Financial economics","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":[0.0004120712,0.0002380362,0.0003308402,0.001280675,0.0008661713,0.001444836,0.0004884867,0.0004816834,0.002096885],"category_scores_gemma":[0.001263068,0.0001444873,0.0004858602,0.001470432,0.0003589039,0.0006938841,0.001664029,0.00066806,0.0006942645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112735,"about_ca_system_score_gemma":0.001152854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.113023,"about_ca_topic_score_gemma":0.1623566,"domain_scores_codex":[0.9996858,0.000040378,0.00003168684,0.00003986628,0.00003404017,0.0001681705],"domain_scores_gemma":[0.9993756,0.0000627188,0.0002102022,0.00001445834,0.0001202746,0.0002166775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003650494,0.0001011408,0.9827272,0.00005652968,0.00005898254,0.0003547959,0.004597405,0.0003304154,0.0001788028,0.0005268576,0.001886,0.008816685],"study_design_scores_gemma":[0.000003455632,0.00004293177,0.9911891,0.0000390115,0.0000163746,0.00007566198,0.006453285,0.0001248414,0.00004729598,0.00006531296,0.001936542,0.000006209446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983524,0.0002310652,0.00001357051,0.0001252199,0.00001161349,0.000001886176,0.0006680682,0.000002689242,0.0005935047],"genre_scores_gemma":[0.9932509,0.0004431649,0.00003111009,0.00002974894,0.00001451758,0.000007438873,0.002435296,0.000004038344,0.003783737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113023,"threshold_uncertainty_score":0.2247303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243506395720108,"score_gpt":0.2826788888767497,"score_spread":0.2754353824810296,"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."}}