{"id":"W4296276638","doi":"10.1007/s12134-022-00987-6","title":"Policies, Potentials, and Pitfalls: the Impact of Economic Admission Categories on Recent Immigrant Earnings Disparities","year":2022,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earnings; Immigration; Percentile; Demographic economics; Economics; Distribution (mathematics); Geography; Accounting; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00435321,0.0001841052,0.0003536132,0.001657141,0.002553443,0.003620461,0.001305613,0.001347486,0.005408863],"category_scores_gemma":[0.02111436,0.0001926007,0.0007051805,0.002233209,0.002546494,0.002746589,0.005128031,0.002416461,0.0002651011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510095,"about_ca_system_score_gemma":0.005998027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07196298,"about_ca_topic_score_gemma":0.1195465,"domain_scores_codex":[0.9959807,0.00161505,0.0002041181,0.00021262,0.0004395265,0.001547988],"domain_scores_gemma":[0.9913399,0.002791832,0.002018439,0.0003700612,0.0009454059,0.002534362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004551285,0.0007676417,0.9041374,0.00006906987,0.0001161673,0.0002020695,0.005920888,0.0005620044,0.0001293944,0.02842365,0.002887758,0.05632879],"study_design_scores_gemma":[0.0000350741,0.0001725071,0.9520956,0.0003501112,0.00009842039,0.0001017929,0.03335122,0.00114936,0.0001793019,0.007930422,0.004492837,0.0000432853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721995,0.001445216,0.0001289958,0.01909042,0.000118996,0.00002046289,0.0002768329,0.000005943056,0.006713625],"genre_scores_gemma":[0.9987465,0.0003134668,0.00005747495,0.0002889582,0.00005116381,0.000009728968,0.00006913141,0.000002246847,0.0004613912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07196298,"threshold_uncertainty_score":0.1430882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452029247200283,"score_gpt":0.3219787597888438,"score_spread":0.307458467316841,"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."}}