{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006047385,0.0001763408,0.0003057958,0.001973948,0.004981069,0.00188903,0.0005280141,0.0002055432,0.002273569],"category_scores_gemma":[0.0025884,0.0001120209,0.0002579708,0.003867802,0.00142135,0.0004486225,0.00154874,0.0005869127,0.0001037485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04036926,"about_ca_system_score_gemma":0.0336396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961476,"about_ca_topic_score_gemma":0.9973015,"domain_scores_codex":[0.9994122,0.00003102057,0.00001348068,0.00005652437,0.0001816,0.0003052248],"domain_scores_gemma":[0.9990119,0.0001046553,0.0001400666,0.00003109892,0.0004533,0.0002590809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000275571,0.00005564562,0.9050812,0.00007718721,0.0001040219,0.0004942432,0.01122372,0.003053118,0.0004418294,0.02315738,0.005508993,0.05052722],"study_design_scores_gemma":[0.000007025301,0.000009576567,0.9883744,0.00004806388,0.00001624457,0.00004981683,0.003912898,0.001274779,0.00009598599,0.001456214,0.004735418,0.00001960535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860401,0.001095349,0.000136887,0.0008363223,0.000014335,0.00001042847,0.0009276385,0.000007717438,0.01093127],"genre_scores_gemma":[0.9976959,0.0005402066,0.00008787185,0.0000388848,0.000003956729,0.000002610299,0.0003151981,0.000003162682,0.001312216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04036926,"threshold_uncertainty_score":0.2929009,"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."}}