{"id":"W3023012788","doi":"","title":"Changing Income Inequality and Immigration in Canada 1980-1995","year":2002,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Metropolitan area; Immigration; Inequality; Demographic economics; Economic inequality; Differential (mechanical device); Economics; Spatial inequality; Social inequality; Development economics; Geography","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":[0.0007760662,0.0002527881,0.0005021461,0.00226242,0.006681793,0.0022097,0.001236089,0.0006301281,0.003336149],"category_scores_gemma":[0.003080636,0.0002165422,0.0004248534,0.006573139,0.0009146162,0.0005543554,0.001820098,0.001585836,0.0003352194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1087472,"about_ca_system_score_gemma":0.06123959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980626,"about_ca_topic_score_gemma":0.9991801,"domain_scores_codex":[0.9986412,0.0000503104,0.00003802768,0.00009888333,0.0003915976,0.000780105],"domain_scores_gemma":[0.9980232,0.00005897243,0.0002431236,0.00003428389,0.001004917,0.0006354395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003913867,0.000216355,0.8791916,0.0001790167,0.0001321485,0.0008222015,0.01107866,0.0010254,0.0002454899,0.008034675,0.03412661,0.06455652],"study_design_scores_gemma":[0.00001328326,0.00001426342,0.9762526,0.00006567062,0.00002297061,0.0000690252,0.003898783,0.0003384944,0.00007690843,0.0001588939,0.01907229,0.00001674736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528573,0.003773019,0.00009017684,0.006699646,0.0001409519,0.00005670658,0.009886626,0.00002262964,0.02647296],"genre_scores_gemma":[0.9832322,0.002167548,0.000169615,0.0005982459,0.00004428635,0.00002409856,0.003911974,0.000009584465,0.009842397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1087472,"threshold_uncertainty_score":0.7890199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07970673015816851,"score_gpt":0.3469741663099108,"score_spread":0.2672674361517423,"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."}}