{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009364442,0.0001598862,0.0002210658,0.0005941412,0.00149853,0.0007355802,0.0003759715,0.0003823391,0.001390866],"category_scores_gemma":[0.002161865,0.0001942548,0.0002541876,0.0006805945,0.000387266,0.0004748384,0.001137737,0.0006946354,0.000211423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470592,"about_ca_system_score_gemma":0.0007908308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06140385,"about_ca_topic_score_gemma":0.1040121,"domain_scores_codex":[0.9996883,0.0001051859,0.0000264646,0.00003492102,0.00005408245,0.00009113346],"domain_scores_gemma":[0.9988033,0.0001440535,0.0003957854,0.00003701066,0.0001918626,0.0004281271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002409,0.0001242329,0.9836427,0.00001919158,0.00001647042,0.0001777932,0.01313394,0.00002745503,0.0002054293,0.00005483662,0.0001226215,0.002451162],"study_design_scores_gemma":[0.00000126579,0.0001011349,0.9854347,0.00002120344,0.000004948311,0.00009058097,0.01378869,0.00008445331,0.00001942771,0.00001595909,0.0004342185,0.00000344141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997572,0.00002875991,0.00001080953,0.00003647709,0.000001194099,0.000004297087,0.00001745192,2.48197e-7,0.000143476],"genre_scores_gemma":[0.9996431,0.00005195137,0.00002947202,0.00001664055,0.000001421804,0.000007775533,0.0000243837,3.706221e-7,0.0002248789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06140385,"threshold_uncertainty_score":0.1220928,"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."}}