{"id":"W2444670863","doi":"10.2139/ssrn.2808943","title":"Labour Market Outcomes for Migrant Professionals: Canada and Australia Compared","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Demographic economics; Business; Immigration; Labour economics; Political science; Economics; 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":[0.0008242371,0.0004144085,0.0009109805,0.001981507,0.003932328,0.002516243,0.001336971,0.001413918,0.004944571],"category_scores_gemma":[0.003802227,0.0003473832,0.0009807115,0.004513172,0.001005108,0.001088088,0.002699764,0.001922679,0.0005002736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01598385,"about_ca_system_score_gemma":0.0270491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798524,"about_ca_topic_score_gemma":0.9907053,"domain_scores_codex":[0.9985826,0.0001031117,0.00006613079,0.0001272676,0.0002177526,0.0009031577],"domain_scores_gemma":[0.9963847,0.0001438271,0.0004833916,0.00005684791,0.001090094,0.001841046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004757654,0.0002010876,0.9808543,0.00007113789,0.0001288873,0.0003400542,0.006294548,0.0002002882,0.0001487852,0.0005173206,0.002789241,0.007978502],"study_design_scores_gemma":[0.0000202325,0.0001018642,0.9778281,0.00006375949,0.00004384321,0.00005913453,0.02022309,0.0001851049,0.00003475578,0.00009291233,0.001325172,0.00002217287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955639,0.0005209341,0.00002526602,0.0006125633,0.00002836788,0.00002420094,0.00133491,0.0000037019,0.001886188],"genre_scores_gemma":[0.9918332,0.0005531942,0.00004090297,0.0002224086,0.00001392854,0.00002331139,0.002025883,0.000006276042,0.005280837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02014756,"threshold_uncertainty_score":0.1159715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637526800095393,"score_gpt":0.3131049350824809,"score_spread":0.296729667081527,"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."}}