{"id":"W2958452995","doi":"10.2478/izajodm-2019-0002","title":"Asymmetric Information and the Discount on Foreign-Acquired Degrees in Canada","year":2019,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Wage; Immigration; Labour economics; Economics; Matching (statistics); Quality (philosophy); Risk aversion (psychology); Wage inequality; Human capital; Demographic economics; Expected utility hypothesis; Economic growth; Political science","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":[0.001790613,0.0001636721,0.0005559318,0.001218531,0.002654726,0.002876215,0.0007664578,0.0006336448,0.007679874],"category_scores_gemma":[0.009578814,0.0001392886,0.0003232444,0.001732979,0.00148916,0.0005372021,0.001142728,0.001276821,0.0002259722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02556996,"about_ca_system_score_gemma":0.0226722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791613,"about_ca_topic_score_gemma":0.9868582,"domain_scores_codex":[0.9984144,0.0001077155,0.00003439871,0.000135411,0.0006180567,0.0006899397],"domain_scores_gemma":[0.9935301,0.002185885,0.001348897,0.000313096,0.001464901,0.001157167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009449687,0.0001819928,0.8330117,0.0001267714,0.0001620562,0.001161866,0.008629415,0.01122472,0.001621342,0.07151545,0.01157528,0.05984442],"study_design_scores_gemma":[0.00007817837,0.00008385611,0.9291149,0.0001812006,0.0001248132,0.0002609318,0.01819345,0.01605774,0.001017329,0.01627864,0.0184615,0.0001473791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779052,0.0006609366,0.0003650148,0.002249023,0.00001539909,0.00001763839,0.0009655103,0.000009814828,0.01781148],"genre_scores_gemma":[0.9980369,0.0001537421,0.00004754803,0.00006000806,0.000004115199,0.000001103569,0.0001175246,0.000002179856,0.001576924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556996,"threshold_uncertainty_score":0.1855239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006909266200270138,"score_gpt":0.2158351738586064,"score_spread":0.2089259076583363,"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."}}