{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268315,0.00004451312,0.00008028841,0.00008239267,0.00009364081,0.000008562356,0.0001056109,0.00008947752,0.0002098965],"category_scores_gemma":[0.0002232764,0.00004657995,0.00001541661,0.0007074391,0.00002695253,0.00009069724,0.000004606983,0.0001412296,0.000004474741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319434,"about_ca_system_score_gemma":0.003263345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9625103,"about_ca_topic_score_gemma":0.9955593,"domain_scores_codex":[0.9993713,0.00005129336,0.0001935501,0.00007116923,0.0001927535,0.0001199258],"domain_scores_gemma":[0.9996731,0.00007003472,0.00006417961,0.00007167208,0.00004917038,0.00007185513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007293465,0.00004335244,0.7072399,6.093763e-7,0.000007992537,0.000004082288,0.01878505,0.001293622,0.00002035651,0.2379875,0.01362311,0.02098718],"study_design_scores_gemma":[0.0006485358,0.00002980312,0.9212775,0.00007027036,0.00001297506,5.336075e-7,0.02113371,0.001333082,0.0001177434,0.008429119,0.04669407,0.0002527025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977064,0.00008553925,0.0001057295,0.00533244,0.00006996554,0.0001000501,0.000007871873,0.00001178705,0.01722259],"genre_scores_gemma":[0.9952264,0.00007099089,0.0001257275,0.00007759935,0.00003363599,5.971913e-7,0.000005015395,0.000001984641,0.004458079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2295584,"threshold_uncertainty_score":0.5789034,"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."}}