{"id":"W2587656018","doi":"10.1186/s40176-016-0075-x","title":"Prior host-country work experience and immigrant labor market outcomes: evidence from Canada","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings; Immigration; Work experience; Labour economics; Demographic economics; Economics; Work (physics); Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001516728,0.0002908863,0.0004462516,0.001912243,0.002937289,0.001441269,0.001221468,0.0004325049,0.003772556],"category_scores_gemma":[0.005206629,0.0001996686,0.0005410915,0.00428357,0.001210031,0.0002738909,0.001151373,0.000714877,0.0002610173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008882347,"about_ca_system_score_gemma":0.02106734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921846,"about_ca_topic_score_gemma":0.9960593,"domain_scores_codex":[0.9992588,0.00008680947,0.0000418214,0.0001030128,0.0002615556,0.0002479506],"domain_scores_gemma":[0.9935817,0.0008335626,0.001191034,0.0002856913,0.002718802,0.001389227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195033,0.00005009565,0.9916293,0.00004730935,0.00008020675,0.0001038847,0.0009256703,0.0001404569,0.0000694031,0.0002826217,0.001406424,0.005144887],"study_design_scores_gemma":[0.00001449005,0.00002008811,0.9968634,0.0000694737,0.00004953568,0.00003397289,0.001559954,0.000148895,0.00004980189,0.00003848818,0.001140584,0.00001135609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916126,0.001005319,0.00006727083,0.0004993238,0.0000152788,0.00002109031,0.002669509,0.000004701228,0.004104902],"genre_scores_gemma":[0.9958034,0.00123512,0.00008918613,0.0001154119,0.000009045571,0.000008595808,0.001706987,0.000004640869,0.001027643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008882347,"threshold_uncertainty_score":0.06444621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654178904740773,"score_gpt":0.2989106709572998,"score_spread":0.2823688819098921,"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."}}