{"id":"W2047889725","doi":"10.1080/02692171.2014.907245","title":"Occupational skill attainment in Canada: the role of gender, nativity status and ethnic origin","year":2014,"lang":"en","type":"article","venue":"International Review of Applied Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Multinomial logistic regression; Ethnic group; Foreign born; Occupational segregation; Census; Educational attainment; Occupational prestige; Immigration; Demographic economics; Human capital; Demography; Country of origin; Geography; Sociology; Socioeconomic status; Political science; Economics; Labour economics; Wage; Population; Economic growth; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009300183,0.0002871233,0.0004154635,0.001330756,0.00283178,0.001898083,0.0009570563,0.0003628795,0.002628543],"category_scores_gemma":[0.002803171,0.0001601869,0.0005128994,0.003142267,0.000971503,0.0003981254,0.001170556,0.0006276994,0.0002890958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01995134,"about_ca_system_score_gemma":0.0308347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951609,"about_ca_topic_score_gemma":0.9972864,"domain_scores_codex":[0.9992448,0.00007403185,0.00002374034,0.0001037159,0.0002015329,0.0003522332],"domain_scores_gemma":[0.9984143,0.000225747,0.0002635126,0.00005709031,0.0004877113,0.0005516036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009681225,0.00003094326,0.9806992,0.00003058171,0.00005683293,0.000162045,0.002000362,0.001432949,0.0001519348,0.001618265,0.001404611,0.01231545],"study_design_scores_gemma":[0.000005408368,0.00001562124,0.9926981,0.00005031933,0.00002033354,0.00003902892,0.002814569,0.001885557,0.00007539138,0.0002813793,0.002100922,0.00001329527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991798,0.000920728,0.0003371762,0.0006459444,0.00001092349,0.00001745636,0.002086531,0.00001188428,0.004171272],"genre_scores_gemma":[0.9964644,0.0004529873,0.0001866632,0.00004196629,0.000002305066,0.000005273899,0.0009498961,0.000005178842,0.00189131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01995134,"threshold_uncertainty_score":0.1447578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441023650225613,"score_gpt":0.2560701447966204,"score_spread":0.2316599082943643,"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."}}