{"id":"W2067980829","doi":"10.7202/038552ar","title":"Income Growth of New Immigrants in Canada","year":2009,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Disadvantage; Earnings; Demographic economics; Earnings growth; Face (sociological concept); Labour economics; Economics; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007263719,0.0002375861,0.000274667,0.001255646,0.001495743,0.001562822,0.0006492219,0.0003408247,0.001343335],"category_scores_gemma":[0.002654176,0.0001280733,0.0004161528,0.001632546,0.0003753098,0.0004337245,0.0007498876,0.0006574916,0.0002053038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01781235,"about_ca_system_score_gemma":0.01518834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887214,"about_ca_topic_score_gemma":0.9860303,"domain_scores_codex":[0.9997552,0.00001989801,0.000007912512,0.00003205389,0.00007730969,0.0001075957],"domain_scores_gemma":[0.9988294,0.0001171502,0.0001702875,0.00004635017,0.0005524906,0.0002843587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000978072,0.00005270248,0.9799021,0.00001062353,0.00002739237,0.0001606523,0.001072964,0.003673452,0.0001309425,0.000719477,0.001659305,0.01249253],"study_design_scores_gemma":[0.000006349992,0.00001773581,0.9851665,0.0000271825,0.00001192378,0.00003336713,0.002022444,0.009986279,0.00009635929,0.0001396491,0.002474684,0.0000174824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966937,0.0001666564,0.0001295241,0.0002469733,0.000006533282,0.000008507649,0.001301306,0.00001204399,0.001434817],"genre_scores_gemma":[0.9962042,0.0002606081,0.000151052,0.00003274541,0.000003328045,0.000007237002,0.001628011,0.000005709433,0.001707177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01781235,"threshold_uncertainty_score":0.1292382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621774933365402,"score_gpt":0.2556479886324258,"score_spread":0.2394302392987718,"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."}}