{"id":"W2792456192","doi":"","title":"Language acquisition and Earnings Differential among Immigrants in Canada","year":2011,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Differential (mechanical device); Demographic economics; Political science; Economics; Accounting; Law","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":[0.0004173623,0.000199859,0.0002730591,0.001482941,0.003198162,0.001338533,0.0006104326,0.0003339107,0.002564839],"category_scores_gemma":[0.001470322,0.0001511351,0.0002758358,0.002638293,0.0007417201,0.0003555137,0.0009727459,0.0007364444,0.0002831095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326439,"about_ca_system_score_gemma":0.01633198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913664,"about_ca_topic_score_gemma":0.9963696,"domain_scores_codex":[0.9994268,0.00002681274,0.00002326378,0.0000506938,0.000149665,0.0003228072],"domain_scores_gemma":[0.9985328,0.00006454664,0.0002728276,0.00002915255,0.000560201,0.0005405079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016332,0.0000504649,0.9903039,0.000009774944,0.00002162761,0.0002132134,0.00221877,0.00009192677,0.0002102317,0.0004946447,0.001076328,0.005207482],"study_design_scores_gemma":[0.000005943348,0.00001339068,0.994809,0.00001836403,0.000007215049,0.00004834948,0.003748523,0.0001530649,0.00005654288,0.00003710288,0.001093109,0.000009231005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969265,0.0002175022,0.00001528565,0.0002769401,0.000006842074,0.00000693712,0.000689926,0.000002639359,0.001857387],"genre_scores_gemma":[0.9974388,0.0002125518,0.00002571751,0.0000681975,0.000003394939,0.000003019366,0.0005948261,0.000002422363,0.001650948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01326439,"threshold_uncertainty_score":0.09624034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354722880035068,"score_gpt":0.3750023428898404,"score_spread":0.3014551140894897,"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."}}