{"id":"W1568989712","doi":"10.1111/j.1475-4932.2008.00485.x","title":"Skilled Immigration and Wages in Australia*","year":2008,"lang":"en","type":"preprint","venue":"Economic Record","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Endogeneity; Instrumental variable; Economics; Estimation; Labour economics; Wage; Demographic economics; Sample (material); Quarter (Canadian coin); Empirical evidence; Omitted-variable bias; Real wages; Econometrics; Geography","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":[0.0005545637,0.0001068225,0.0001558283,0.0004916523,0.0004651357,0.0005901839,0.0001829215,0.0002481279,0.002473981],"category_scores_gemma":[0.004314634,0.00009847712,0.0001039255,0.0009665415,0.0004892678,0.0003997523,0.0008901465,0.0004598342,0.0002488512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207327,"about_ca_system_score_gemma":0.0009051369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05491024,"about_ca_topic_score_gemma":0.09234686,"domain_scores_codex":[0.9997502,0.00007251955,0.00001505395,0.00003413437,0.00008260308,0.00004554512],"domain_scores_gemma":[0.9989189,0.0002291604,0.0005390297,0.00004371667,0.0001375142,0.0001316432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001724445,0.0001583527,0.8667107,0.0001622566,0.00007854084,0.0005190413,0.01253917,0.004780069,0.0022179,0.02189151,0.002206732,0.08856329],"study_design_scores_gemma":[0.000002932502,0.0000294887,0.9939529,0.00001901843,0.000004820403,0.00004016537,0.0008902099,0.001258475,0.00005593699,0.002172543,0.001569297,0.000004124973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958769,0.00024258,0.0001779317,0.0004832962,0.000007276348,0.000002568626,0.00005310967,0.000002614546,0.003153727],"genre_scores_gemma":[0.9982371,0.0001206757,0.0001194734,0.00003355123,0.000006244403,0.00000190431,0.00003686899,0.0000011796,0.001442955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05491024,"threshold_uncertainty_score":0.1091813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880944379632608,"score_gpt":0.3161337769783107,"score_spread":0.2873243331819846,"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."}}