{"id":"W1844635080","doi":"10.2139/ssrn.1749664","title":"How are the Children of Visible Minority Immigrants Doing in the Canadian Labour Market?","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Labour economics; Political science; Business; Economics; 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":[0.00234484,0.0004991072,0.0006506831,0.001360396,0.01092887,0.006781486,0.002333825,0.002050746,0.006937206],"category_scores_gemma":[0.006750218,0.0003892063,0.0006112307,0.002498511,0.005041502,0.002371442,0.002273581,0.00353462,0.0009536557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02440091,"about_ca_system_score_gemma":0.04275899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755146,"about_ca_topic_score_gemma":0.9854866,"domain_scores_codex":[0.99653,0.0003143818,0.00004157087,0.0001576469,0.0006419104,0.002314573],"domain_scores_gemma":[0.9951712,0.0003450552,0.0007551973,0.0001169199,0.001586235,0.002025318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491325,0.0004460827,0.6900781,0.0001206631,0.00006548049,0.001146804,0.2357856,0.0001996997,0.0007537675,0.007992238,0.01434095,0.04872133],"study_design_scores_gemma":[0.00001896042,0.000143059,0.4770641,0.0002441621,0.0000531302,0.0002413961,0.5013505,0.0001125678,0.0002385016,0.0006584664,0.01977272,0.0001025106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784992,0.001386621,0.00003015097,0.006233239,0.00009731192,0.00002126267,0.0004886372,0.000005460196,0.01323808],"genre_scores_gemma":[0.9899872,0.001270181,0.0000671587,0.0007931147,0.00002269878,0.00001690047,0.0002543206,0.000009136828,0.007579315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02448541,"threshold_uncertainty_score":0.1770418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275576543117116,"score_gpt":0.2326772232099367,"score_spread":0.2199214577787655,"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."}}