{"id":"W7095548493","doi":"","title":"THE PERFORMANCE OF IMMIGRANTS IN SELECTED CANADIAN CITIES∗ By","year":2002,"lang":"en","type":"article","venue":"","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Earnings growth; Assimilation (phonology); New immigrants","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":[0.0005689076,0.0003679531,0.0002549216,0.002242093,0.002374985,0.001519084,0.0007089397,0.000336273,0.002371454],"category_scores_gemma":[0.001600636,0.0002119979,0.0004746063,0.003037364,0.0004991359,0.0003302223,0.00101096,0.0003376374,0.0004866349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01170747,"about_ca_system_score_gemma":0.01125038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847489,"about_ca_topic_score_gemma":0.9930853,"domain_scores_codex":[0.9994956,0.00003151086,0.00002262873,0.00007219267,0.0001542152,0.0002238929],"domain_scores_gemma":[0.9989477,0.00004898366,0.0001767022,0.00005522692,0.0005364697,0.0002349246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006584212,0.00001506892,0.9906431,0.00001600858,0.00005020176,0.00007897567,0.001442507,0.0002228458,0.0001912149,0.0002010596,0.001405325,0.00566784],"study_design_scores_gemma":[0.000002196112,0.000007998399,0.996912,0.000008372751,0.000008463484,0.00002309677,0.001596629,0.0001474722,0.00006254616,0.00001070275,0.001212119,0.000008380292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953098,0.0001750587,0.00002757698,0.00008974815,0.000006340709,0.000007956422,0.002225501,0.000007568923,0.002150489],"genre_scores_gemma":[0.9943869,0.0002387608,0.00007050054,0.00003278611,0.000002770596,0.000007479197,0.003021392,0.000005124572,0.002234364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0152511,"threshold_uncertainty_score":0.08494401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324123649354571,"score_gpt":0.2575813284633078,"score_spread":0.2443400919697621,"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."}}