{"id":"W3214053959","doi":"10.3982/qe1854","title":"Earnings dynamics of immigrants and natives in Sweden 1985–2016","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Institutet för arbetsmarknads- och utbildningspolitisk politisk utvärdering","keywords":"Earnings; Economics; Earnings growth; Recession; Immigration; Inequality; Volatility (finance); Labour economics; Demographic economics; Redistribution (election); Macroeconomics; Financial economics; Political science","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":[0.000615794,0.0001083731,0.0003106329,0.0001716517,0.000461681,0.00000277986,0.0001092905,0.00003648822,0.0001946111],"category_scores_gemma":[0.0001280818,0.0001102153,0.00003495454,0.0001102417,0.000119032,0.0001128066,0.0002916222,0.000318453,0.00001685892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190448,"about_ca_system_score_gemma":0.00008628303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311249,"about_ca_topic_score_gemma":0.00382199,"domain_scores_codex":[0.9987816,0.0003026289,0.0004268291,0.0002060681,0.00005160077,0.0002312716],"domain_scores_gemma":[0.9987296,0.000794509,0.0003080818,0.00009259877,0.00004521768,0.00003003444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001208269,0.00004651663,0.8112169,0.00006532253,0.00005974677,0.000001278948,0.03119592,0.00008299686,0.00002700597,0.1559052,0.0006457952,0.0006325638],"study_design_scores_gemma":[0.001673567,0.0004526759,0.8351004,0.00008737279,0.00001615274,5.432362e-7,0.1350666,0.003079989,0.00001163482,0.01556261,0.008678911,0.0002696168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901296,0.0003651858,0.00003204497,0.002047874,0.0002531794,0.0003347363,0.0001667282,0.00001564683,0.006654952],"genre_scores_gemma":[0.9967856,0.0005015362,0.0002920388,0.0001669041,0.00001642805,0.000105975,0.00002836771,0.00001799032,0.002085098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403425,"threshold_uncertainty_score":0.4494449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06727446400029054,"score_gpt":0.3945719998952393,"score_spread":0.3272975358949488,"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."}}