{"id":"W3022072219","doi":"10.1111/1468-2435.00098","title":"Distribution, Inequality and Concentration of Incomeamong Older Immigrants in Canada","year":2000,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Distribution (mathematics); Income distribution; Earnings; Quartile; Aggregate income; Total personal income; Demography; Population; Welfare; Demographic economics; Economics; Household income; Inequality; Economic inequality; Geography; Socioeconomics; Gross income; Sociology; Statistics; Mathematics","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":[0.0005864981,0.0002670705,0.0004045931,0.002385323,0.004572681,0.00169484,0.001040174,0.0003851411,0.003292433],"category_scores_gemma":[0.002146102,0.0002138419,0.0004291369,0.004944168,0.001119477,0.0005028573,0.001398504,0.0006489244,0.0002261744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03792907,"about_ca_system_score_gemma":0.02895555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968764,"about_ca_topic_score_gemma":0.9980927,"domain_scores_codex":[0.9992827,0.00003243681,0.00003513235,0.00007560848,0.0002093281,0.0003648422],"domain_scores_gemma":[0.998552,0.00008350249,0.0002333963,0.00003340471,0.000668432,0.0004292186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002038338,0.00004925816,0.9582544,0.00007686385,0.00006142824,0.0002753643,0.008380459,0.0002654742,0.0002820527,0.0009963351,0.003391148,0.02776337],"study_design_scores_gemma":[0.000005622316,0.00001086396,0.9932567,0.0000454393,0.00001254761,0.00005013257,0.004637049,0.000265863,0.00004387076,0.00008977501,0.001567592,0.00001467307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992289,0.001207404,0.00005896355,0.0006941342,0.00001311856,0.00002085436,0.001720473,0.000008808341,0.003987174],"genre_scores_gemma":[0.9959138,0.001050248,0.0001055836,0.0001033737,0.00000840321,0.000008619469,0.0008529788,0.000005177887,0.001951751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03792907,"threshold_uncertainty_score":0.275196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007229989091309725,"score_gpt":0.2644438954581612,"score_spread":0.2572139063668515,"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."}}