{"id":"W3200023580","doi":"10.1920/re.ifs.2021.0198","title":"London calling? Higher education, geographical mobility and early-career earnings","year":2021,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Earnings; Educational attainment; Demographic economics; Higher education; Social mobility; Ethnic group; Quarter (Canadian coin); Geography; Inequality; Demography; Sociology; Economic growth; Business; Economics; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001324061,0.0002485513,0.0004508689,0.000132132,0.00080228,0.0002321534,0.0001735813,0.0004505356,0.00173278],"category_scores_gemma":[0.0004838555,0.0002227107,0.0001784941,0.0003617762,0.0004797805,0.0001268374,0.00009908112,0.0004340931,0.00001032738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375942,"about_ca_system_score_gemma":0.002476657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2939559,"about_ca_topic_score_gemma":0.05358369,"domain_scores_codex":[0.9972855,0.0002109064,0.0004009326,0.000630739,0.001112439,0.000359465],"domain_scores_gemma":[0.9976223,0.0001600624,0.0002256938,0.0002823626,0.001500868,0.0002086866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000263882,0.0001458437,0.7451202,0.0001248972,0.0001391462,0.000004475188,0.0327457,2.04039e-7,7.873139e-7,0.004331148,0.2155541,0.001830773],"study_design_scores_gemma":[0.00003350616,0.000008762546,0.4501945,0.00003885314,0.0000552101,7.973611e-7,0.0002732368,1.116812e-7,7.816163e-7,0.0006061483,0.5486272,0.000160866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814823,0.0291071,0.00004640696,0.00345306,0.003581047,0.0006231378,0.00001094416,0.0002566243,0.2814394],"genre_scores_gemma":[0.5949683,0.02099274,0.0002539056,0.0002037519,0.003159722,0.00009109626,0.00004730291,0.00003013706,0.3802531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3330731,"threshold_uncertainty_score":0.9991798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461689019801837,"score_gpt":0.3204976579745569,"score_spread":0.2858807677765385,"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."}}