{"id":"W2292461602","doi":"","title":"The Economic Performance of Immigrants with Canadian Education","year":2015,"lang":"en","type":"article","venue":"EERS. Estudios económicos regionales y sectoriales","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Wage; Disadvantage; Human capital; Demographic economics; Economics; Labour economics; Political science; Economic growth","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":[0.0006219255,0.0004423538,0.0003929579,0.002087197,0.004336436,0.002385065,0.0007791354,0.0005338734,0.005098616],"category_scores_gemma":[0.003035768,0.0001280542,0.0005503076,0.003841823,0.0009048428,0.0003582549,0.00140461,0.0007390234,0.0007483641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01856015,"about_ca_system_score_gemma":0.02114269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812775,"about_ca_topic_score_gemma":0.9835957,"domain_scores_codex":[0.9991298,0.00003982622,0.00002499561,0.00005992334,0.0002530768,0.0004923116],"domain_scores_gemma":[0.9984699,0.00004762294,0.0002072898,0.00003190053,0.0006953661,0.000547883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215751,0.000121594,0.9679708,0.00005040823,0.00006942558,0.0004904508,0.004129114,0.0002695634,0.0002954288,0.001116727,0.005562114,0.01970281],"study_design_scores_gemma":[0.000006696561,0.00003567729,0.9883254,0.00003069208,0.00001562044,0.0001062837,0.006310935,0.0001322721,0.00005880569,0.00005493592,0.00489791,0.00002477559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867542,0.000506523,0.00002115796,0.000519242,0.00003336346,0.0000179758,0.001719015,0.000007562484,0.01042088],"genre_scores_gemma":[0.9930626,0.0006086198,0.0000389288,0.000119501,0.00001381718,0.00000729825,0.001713873,0.000004404001,0.004431046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01872247,"threshold_uncertainty_score":0.134664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727385981136813,"score_gpt":0.258815834967549,"score_spread":0.2315419751561808,"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."}}