{"id":"W4231757663","doi":"10.32920/ryerson.14655081","title":"Pre-migration preparation and the labour market integration of skilled immigrants","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Economic shortage; Order (exchange); Government (linguistics); Business; Variety (cybernetics); Labour economics; Economics; Political science; Finance","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":[0.0008121143,0.0001844434,0.0001795133,0.0006612923,0.004935631,0.003173325,0.0005548016,0.000610156,0.005442803],"category_scores_gemma":[0.002685007,0.0001127136,0.0001854378,0.0008116343,0.002096294,0.0006836359,0.00241653,0.001003172,0.0003130002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008980929,"about_ca_system_score_gemma":0.0211666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6864507,"about_ca_topic_score_gemma":0.8040435,"domain_scores_codex":[0.9992929,0.0001615208,0.00001390469,0.00003783075,0.00009332917,0.0004005302],"domain_scores_gemma":[0.9990928,0.0001189007,0.0001846561,0.00001952474,0.0001395779,0.0004446151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004487234,0.0009433992,0.6261611,0.0001925095,0.00005565894,0.001855527,0.2009581,0.0005913351,0.001783681,0.0314269,0.006370421,0.1292126],"study_design_scores_gemma":[0.00001428482,0.0001147815,0.7895719,0.000184671,0.00002326394,0.0001152861,0.1941692,0.0003014116,0.0002447938,0.001756301,0.01348166,0.00002238212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759424,0.0004961805,0.00009316317,0.002231742,0.00001904049,0.00002191877,0.00005646047,0.000004812665,0.02113432],"genre_scores_gemma":[0.9951267,0.0004901782,0.00006749589,0.0001595244,0.000007688301,0.000007698162,0.00004117208,0.000003121678,0.004096349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6864507,"threshold_uncertainty_score":0.6307918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009564364210276573,"score_gpt":0.3030401094314848,"score_spread":0.2934757452212083,"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."}}