{"id":"W1563102144","doi":"","title":"Immigration, Assimilation and Inequality of Income Distribution in Canada","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Inequality; Theil index; Demographic economics; Income distribution; Economic inequality; Economics; Cohort; Geography; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005885606,0.0001505063,0.0004163102,0.0001559018,0.0001824661,0.00005595955,0.0002792554,0.0003088032,0.00004625988],"category_scores_gemma":[0.001588501,0.0001727231,0.00004827209,0.0002103383,0.0002977885,0.000148874,0.0002303334,0.000779868,3.789494e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005211494,"about_ca_system_score_gemma":0.005512839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8954777,"about_ca_topic_score_gemma":0.9891011,"domain_scores_codex":[0.9965081,0.00134304,0.0008184562,0.0004493292,0.0004118075,0.0004692259],"domain_scores_gemma":[0.9984512,0.0005531476,0.0002834309,0.0003795214,0.000207228,0.0001255094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000433857,0.00006702512,0.9689611,0.0001553148,0.00001596183,0.000003213355,0.002284852,0.001102377,0.0000092224,0.007750254,0.00008110315,0.01952619],"study_design_scores_gemma":[0.0003763033,0.00002434753,0.9756428,0.000137072,0.000003358685,2.769275e-7,0.004548342,0.002248093,0.00005315825,0.008477142,0.008192534,0.0002965659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687071,0.00006758214,0.0000124272,0.0005470015,0.0003366543,0.0004893419,0.0002566205,0.000006542035,0.02957668],"genre_scores_gemma":[0.9956631,0.003794694,0.00004424289,0.00003774522,0.00007383209,0.00004344091,0.0001630178,0.000009848141,0.000170067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09362337,"threshold_uncertainty_score":0.9986073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992451789599046,"score_gpt":0.3398244716317538,"score_spread":0.2998999537357633,"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."}}