{"id":"W2158854072","doi":"10.3138/cpp.39.supplement1.s141","title":"Canada’s Immigration Selection System and Labour Market Outcomes","year":2013,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McMaster University","funders":"","keywords":"Humanities; Political science; Immigration; Ethnology; Sociology; Art; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001678654,0.0002371369,0.0003798512,0.002274662,0.005779854,0.002886088,0.0007757125,0.0004915281,0.007047784],"category_scores_gemma":[0.005581767,0.0001362626,0.0003083005,0.004990273,0.001898744,0.0005058,0.001498468,0.0008031134,0.0004778861],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02583063,"about_ca_system_score_gemma":0.03921197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824901,"about_ca_topic_score_gemma":0.9930375,"domain_scores_codex":[0.9984186,0.0001957164,0.00005977815,0.0001560847,0.0005110173,0.000658815],"domain_scores_gemma":[0.9963655,0.0003502567,0.0006733321,0.0001696979,0.001374581,0.001066501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002425605,0.0001099923,0.9129105,0.00008667958,0.00008660778,0.0003107954,0.01022168,0.0008285309,0.0003088844,0.01494683,0.01487715,0.04506987],"study_design_scores_gemma":[0.00001893369,0.00003135259,0.9793178,0.00008106913,0.00002611402,0.00005133159,0.007030671,0.0003462826,0.0001080994,0.0005761195,0.01238815,0.00002407527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959298,0.0009853138,0.0003022841,0.003605605,0.00007095728,0.00004993596,0.002494085,0.00001933901,0.0331746],"genre_scores_gemma":[0.9908724,0.0004502333,0.0001909809,0.0002227852,0.00001891259,0.00001763047,0.0009994741,0.00001164828,0.007215961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741694,"threshold_uncertainty_score":0.1874152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007840781900479122,"score_gpt":0.2294977218891513,"score_spread":0.2216569399886722,"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."}}