{"id":"W310277757","doi":"","title":"Investigation of Earning Differentials Between Visible Minorities and Whites and Ethnic Groups: From Canadian Evidence","year":2015,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Demographic economics; Demography; Geography; Political science; Economics; Sociology","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":[0.001242693,0.0002811202,0.0003373242,0.004216427,0.003055377,0.001268768,0.000908436,0.0002567321,0.003255773],"category_scores_gemma":[0.003569289,0.0001825996,0.0004061733,0.008066008,0.0009479062,0.0005522736,0.001276567,0.0005756651,0.0002546859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008269052,"about_ca_system_score_gemma":0.01240667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839541,"about_ca_topic_score_gemma":0.9921744,"domain_scores_codex":[0.998719,0.00006460215,0.0000665944,0.000180121,0.0006157674,0.0003539837],"domain_scores_gemma":[0.9967501,0.0004696405,0.0006110496,0.0001386286,0.001536758,0.0004938554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001841651,0.00004557289,0.9559129,0.0001771127,0.0001016809,0.0002676744,0.007535249,0.0000809015,0.0004422625,0.002199058,0.0015426,0.03151073],"study_design_scores_gemma":[0.000003016866,0.00001577895,0.990765,0.00006321091,0.00003783679,0.00005165174,0.00562486,0.00007243656,0.0001549457,0.00009844318,0.003102526,0.00001026178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833387,0.001910364,0.0001663925,0.0004849569,0.00001273802,0.00001937649,0.003501884,0.000004384961,0.01056105],"genre_scores_gemma":[0.9953706,0.001494496,0.0001996699,0.00008158783,0.000007530225,0.00000512833,0.001676658,0.000003346444,0.001161099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604593,"threshold_uncertainty_score":0.05999649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2161413947357357,"score_gpt":0.2964109647484572,"score_spread":0.08026957001272159,"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."}}