{"id":"W2947163792","doi":"10.1111/imig.12586","title":"Determinants of Migrant Career Success: A Study of Recent Skilled Migrants in Australia","year":2019,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Settlement (finance); Citizenship; Migrant workers; Inclusion (mineral); Neighbourhood (mathematics); Demographic economics; Population; Perception; Political science; Economic growth; Sociology; Gender studies; Psychology; Business; Economics; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004594629,0.00009211802,0.000202519,0.0002491112,0.00002919465,0.00002306203,0.0002863946,0.00007781747,0.0008283844],"category_scores_gemma":[0.0001677059,0.0000892379,0.0000501025,0.0003610269,0.00004770519,0.0002427201,0.00002171746,0.00007499832,0.0000186532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031079,"about_ca_system_score_gemma":0.0000808691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03539893,"about_ca_topic_score_gemma":0.6321992,"domain_scores_codex":[0.9983528,0.0001568197,0.0005353499,0.0001872876,0.0006328054,0.0001349434],"domain_scores_gemma":[0.9990154,0.00007372729,0.0002932516,0.0001399237,0.0004397146,0.00003802153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007406811,0.0005128529,0.9430137,0.000009363776,0.00001759248,0.000001963903,0.05297582,0.0002922511,0.001033526,0.0007561161,0.00006637286,0.001246391],"study_design_scores_gemma":[0.001954901,0.0002545446,0.9652442,0.0001133493,0.00001857692,7.088864e-7,0.02039814,0.00462326,0.0009224694,0.0002243965,0.00605291,0.0001924925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977081,0.00001243101,0.00001214809,0.0002356763,0.000557639,0.0005598767,0.00002529162,0.0000109408,0.0008778389],"genre_scores_gemma":[0.9979869,0.00008268732,0.00006237654,0.00002030389,0.00003652911,0.00001884141,0.0000220263,0.000006112347,0.001764277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5968003,"threshold_uncertainty_score":0.9710245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675318764707727,"score_gpt":0.3589167286234584,"score_spread":0.3221635409763811,"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."}}