{"id":"W2096759371","doi":"10.1111/imre.12014","title":"Immigrant Employment Success in Canada: Examining the Rate of Obtaining a Job Match","year":2013,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Immigration; Residence; Demographic economics; Human capital; Matching (statistics); Occupational prestige; Cohort; Demography; Geography; Sociology; Economics; Socioeconomic status; Population; Economic growth; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000927296,0.00008593674,0.0001704826,0.0000517536,0.00008955401,0.00005472214,0.0003485137,0.00002452046,0.001223478],"category_scores_gemma":[0.0003374603,0.0000631175,0.0000395858,0.0003113264,0.00004753273,0.0002276407,0.00002537654,0.00009628791,0.00002085444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447687,"about_ca_system_score_gemma":0.0006882321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9624933,"about_ca_topic_score_gemma":0.9966232,"domain_scores_codex":[0.9985203,0.000297719,0.0005089644,0.0001356309,0.0003932875,0.0001441274],"domain_scores_gemma":[0.9990563,0.0002101292,0.0002451528,0.0001220503,0.0003209297,0.00004542268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002281594,0.0001666793,0.5541912,0.0006269662,0.0002088684,0.00001559647,0.04761553,0.002038545,0.0007381997,0.1821398,0.06510086,0.1471349],"study_design_scores_gemma":[0.0005575744,0.00003464852,0.462123,0.003890645,0.00004786071,0.00000374716,0.01709612,0.01254838,0.00007755102,0.001023291,0.5021171,0.0004801258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431008,0.005387371,0.0002316614,0.04599662,0.0004519775,0.0008436615,0.00001549474,0.00001735587,0.003955073],"genre_scores_gemma":[0.9765808,0.01879926,0.00008342061,0.003191931,0.00005529921,0.0001364521,0.0000206537,0.000005952852,0.001126207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4370162,"threshold_uncertainty_score":0.9996895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704119389096661,"score_gpt":0.3049405861576467,"score_spread":0.2778993922666801,"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."}}