{"id":"W3195908284","doi":"","title":"Intergenerational Mobility between and within Canada and the United States","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Statistics Canada; Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Rest (music); Population; Political science; Demographic economics; Demography; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000395542,0.000184912,0.0003700633,0.003126788,0.003394002,0.002727572,0.0006625039,0.0003074062,0.004076421],"category_scores_gemma":[0.002350313,0.0001068962,0.0003582595,0.00743909,0.001183214,0.0008411137,0.001852751,0.0005343472,0.0002309432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01559525,"about_ca_system_score_gemma":0.01291839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825664,"about_ca_topic_score_gemma":0.9911713,"domain_scores_codex":[0.999253,0.00006363187,0.00002220991,0.000120044,0.0001448933,0.0003962688],"domain_scores_gemma":[0.9986771,0.0001801251,0.0002136674,0.00007039669,0.0005674771,0.0002911449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001712404,0.00005400634,0.9087608,0.00006945842,0.0002277962,0.0003954507,0.01315423,0.002427688,0.0002884281,0.01978954,0.007011685,0.04764957],"study_design_scores_gemma":[0.00000618341,0.000006520011,0.9768027,0.0001421327,0.00005400783,0.00006909934,0.01207351,0.001104451,0.0001077669,0.001187703,0.008415939,0.00002994615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702665,0.001932635,0.0002710027,0.0008678284,0.00002034809,0.00001553458,0.003245391,0.00001954004,0.02336113],"genre_scores_gemma":[0.9963484,0.000648689,0.0001390236,0.00003840565,0.00000310902,0.000005039843,0.0009692073,0.000005144768,0.00184291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743364,"threshold_uncertainty_score":0.113152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501032953052556,"score_gpt":0.3450745572757753,"score_spread":0.3000642277452498,"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."}}