{"id":"W3124171459","doi":"","title":"Immigrant-Native Differences in Earnings Mobility Processes: Evidence from Canadian and Danish Data","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Immigration; Spurious relationship; Multinomial logistic regression; Econometrics; Economics; Multinomial distribution; Danish; Demographic economics; Market segmentation; State dependent; Geography; Mathematics; Statistics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002534511,0.0002503304,0.0004670846,0.002443268,0.001967263,0.001815461,0.000818846,0.0004169241,0.002531377],"category_scores_gemma":[0.01192455,0.000215317,0.0004709788,0.006857309,0.000742052,0.0005937432,0.001185746,0.0004416079,0.0003676237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006178816,"about_ca_system_score_gemma":0.007831438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732199,"about_ca_topic_score_gemma":0.9770677,"domain_scores_codex":[0.9984641,0.0002343916,0.0001267482,0.0002642961,0.000537832,0.0003725385],"domain_scores_gemma":[0.9913322,0.00279007,0.001788492,0.0005871765,0.002877651,0.0006243015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004337937,0.00007786388,0.9647248,0.0001785839,0.0002071499,0.000311594,0.005978996,0.001544532,0.0002344622,0.002622377,0.005738674,0.0179472],"study_design_scores_gemma":[0.00001594109,0.0000144043,0.987784,0.00007168313,0.00004670675,0.00006443496,0.004575855,0.0008997666,0.0001470442,0.0001984405,0.006143686,0.00003804245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838462,0.0008178191,0.0003137777,0.0002727383,0.0000134611,0.00002031943,0.01089859,0.0000149345,0.00380214],"genre_scores_gemma":[0.9804355,0.0008034299,0.0004153034,0.00005385731,0.000007884072,0.00001351605,0.01682672,0.000009415495,0.001434448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678007,"threshold_uncertainty_score":0.05387551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167547432237107,"score_gpt":0.3207332554365944,"score_spread":0.2039785122128837,"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."}}