{"id":"W4288294126","doi":"","title":"Immigrants and Workplace Training: Evidence from Canadian Linked Employer Employee Data","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Training (meteorology); Demographic economics; Labour economics; Business; Psychology; Political science; Economics; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004652025,0.0004362188,0.0005080715,0.003902433,0.00277893,0.002517174,0.001866501,0.0008569154,0.004406578],"category_scores_gemma":[0.021072,0.0003461376,0.0006001773,0.01589911,0.001055366,0.0006530122,0.001980673,0.0009556354,0.0007196188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009446033,"about_ca_system_score_gemma":0.02152636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866869,"about_ca_topic_score_gemma":0.9889447,"domain_scores_codex":[0.9956688,0.0005292297,0.0003063613,0.0005757162,0.002079901,0.0008400926],"domain_scores_gemma":[0.9756915,0.005327516,0.007355485,0.00166912,0.008100271,0.001856079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001326302,0.000035605,0.97988,0.0001730271,0.0001898411,0.00008825191,0.0009903639,0.0002802217,0.00006163468,0.0005504746,0.007964388,0.009653541],"study_design_scores_gemma":[0.00001852157,0.00001591316,0.9873233,0.0001990617,0.00009596333,0.00003455774,0.001700108,0.000348208,0.00008221591,0.0001021047,0.01005381,0.00002621305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749063,0.006877225,0.0008282327,0.002992261,0.0001383738,0.0001196334,0.09562644,0.00006361181,0.01844785],"genre_scores_gemma":[0.9341645,0.003795423,0.0007490603,0.000776093,0.00006182952,0.00008599222,0.05608456,0.00002996974,0.004252661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01331306,"threshold_uncertainty_score":0.06853616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320412401799461,"score_gpt":0.379564157036451,"score_spread":0.2475229168565049,"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."}}