{"id":"W3122848677","doi":"","title":"A Comparison of Upward and Downward Intergenerational Mobility in Canada, Sweden and the United States","year":2014,"lang":"en","type":"preprint","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":"","funders":"","keywords":"Earnings; Social mobility; Demographic economics; Distribution (mathematics); Inequality; Economics; Income distribution; Econometrics; Geography; Political science; Mathematics","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":[0.0006195809,0.0001354575,0.0002937288,0.00189913,0.001777307,0.001923853,0.0006746147,0.0003863058,0.004333431],"category_scores_gemma":[0.0022932,0.00009565824,0.0003940687,0.004840574,0.0005377008,0.0006524349,0.001142125,0.0005296948,0.000264613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00783972,"about_ca_system_score_gemma":0.007505805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9633203,"about_ca_topic_score_gemma":0.9804363,"domain_scores_codex":[0.9996277,0.0000489425,0.00001545102,0.00005566196,0.00007794437,0.0001742715],"domain_scores_gemma":[0.9986948,0.00023673,0.0001115719,0.00005580733,0.0007405369,0.0001606363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005554568,0.00009042765,0.905041,0.00008784631,0.0002007963,0.0003246115,0.01074397,0.002368073,0.0005228604,0.01846863,0.008407986,0.05318829],"study_design_scores_gemma":[0.000009180421,0.00001510261,0.9787849,0.00006123454,0.00007180787,0.00004247264,0.01166645,0.001095844,0.0002341306,0.0008418325,0.007161266,0.00001587453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859864,0.0008901312,0.000125581,0.000787219,0.00001639384,0.000007888269,0.002412435,0.000009677378,0.009764401],"genre_scores_gemma":[0.9952314,0.0004825692,0.0001189846,0.00004743844,0.000003225829,0.000003638818,0.00148368,0.000006796288,0.002622176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03667974,"threshold_uncertainty_score":0.07379144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08955179996638928,"score_gpt":0.4064222253927935,"score_spread":0.3168704254264043,"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."}}