{"id":"W2110383825","doi":"","title":"Technological Change and Declining Immigrant Outcomes, Implications for Income Inequality in Canada","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Dalhousie University","funders":"","keywords":"Earnings; Immigration; Demographic economics; Inequality; Economics; Wage; Labour economics; Cohort; Wage inequality; Political science; Medicine; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008478013,0.0003040223,0.0003874527,0.001813684,0.00559124,0.00224908,0.0008876544,0.0005554603,0.00457356],"category_scores_gemma":[0.003715077,0.0001123089,0.0004283744,0.004598458,0.001596384,0.0006408386,0.001437139,0.0008720846,0.0001845979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02842351,"about_ca_system_score_gemma":0.04384175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964495,"about_ca_topic_score_gemma":0.9970738,"domain_scores_codex":[0.9994752,0.00002189514,0.00001510101,0.00006344845,0.0001042826,0.0003201384],"domain_scores_gemma":[0.9982386,0.0001420846,0.000330489,0.00006398688,0.0007167292,0.0005081138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003253086,0.00007007168,0.9386973,0.00008759421,0.00006872922,0.000491628,0.005409874,0.001704619,0.0005365389,0.01161356,0.007069772,0.03392496],"study_design_scores_gemma":[0.00001050106,0.00001464927,0.9897577,0.00005585334,0.00002736969,0.00004051573,0.005018019,0.000839338,0.00009567111,0.0008746086,0.003248598,0.00001724365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834698,0.001920016,0.0001301436,0.003546983,0.00002873782,0.00001303302,0.002567032,0.00001105588,0.008313114],"genre_scores_gemma":[0.9963315,0.0009977771,0.00008065644,0.0001426867,0.00001066646,0.000004427757,0.0007016691,0.000005365992,0.001725125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02842351,"threshold_uncertainty_score":0.206228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003458175988451,"score_gpt":0.3923034434046108,"score_spread":0.2919576258057658,"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."}}