{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003763124,0.0002130971,0.0002252924,0.001428801,0.000509877,0.001021194,0.0002691158,0.0002954722,0.001812944],"category_scores_gemma":[0.001081635,0.0001073688,0.0003441095,0.001226619,0.0002450179,0.000436885,0.00116866,0.0005092876,0.0006462153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006956593,"about_ca_system_score_gemma":0.0006394815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06926085,"about_ca_topic_score_gemma":0.0699451,"domain_scores_codex":[0.999773,0.00002148405,0.00002776237,0.00003432654,0.00003946347,0.000104065],"domain_scores_gemma":[0.9995158,0.00004004024,0.0002211318,0.0000116373,0.00008985441,0.0001215818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002732737,0.00006780215,0.974461,0.00006159748,0.00005597341,0.0003750126,0.002418529,0.000380764,0.0001988545,0.0005109516,0.003436239,0.01776003],"study_design_scores_gemma":[0.000004698101,0.00003192549,0.9925033,0.00005917312,0.00001424452,0.0001031708,0.003562973,0.0001621702,0.00005905384,0.00009171978,0.003398806,0.000008810562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955432,0.0006015889,0.00002906485,0.0002605236,0.00001989416,0.000003524336,0.002101178,0.000007169433,0.001433875],"genre_scores_gemma":[0.990702,0.0008018928,0.00004611495,0.00006125591,0.00004868485,0.000007479903,0.00495951,0.000005997457,0.003367008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06926085,"threshold_uncertainty_score":0.1377154,"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."}}