{"id":"W2669090090","doi":"10.3386/w23548","title":"Why Are Some Immigrant Groups More Successful than Others?","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Labour economics; Economics; Demographic economics; Political science; Law","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":[0.001826057,0.0002582828,0.0004463264,0.001508857,0.002362042,0.003036015,0.0005481714,0.001162938,0.01266384],"category_scores_gemma":[0.006628203,0.0002291582,0.0003554518,0.001342605,0.002489588,0.001711808,0.001442543,0.0008912435,0.00326714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405042,"about_ca_system_score_gemma":0.0006728304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000072,"about_ca_topic_score_gemma":0.0188021,"domain_scores_codex":[0.9989668,0.0002501098,0.00003503547,0.0001565611,0.0001734617,0.0004179899],"domain_scores_gemma":[0.99636,0.0006842205,0.0006803288,0.0003566098,0.0006322521,0.001286593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001282112,0.0001516737,0.8825935,0.0001582998,0.0001739831,0.0006413292,0.008530995,0.0001379759,0.0009283079,0.01062462,0.01219727,0.08373382],"study_design_scores_gemma":[0.00002857147,0.0001344102,0.9435689,0.000217568,0.00008657914,0.000560909,0.0321735,0.0001744785,0.000464598,0.006958383,0.01559891,0.00003314191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585043,0.001026248,0.0002650606,0.009935865,0.0001641455,0.00002678685,0.00034851,0.00002242661,0.02970653],"genre_scores_gemma":[0.9935393,0.0007064489,0.0001910768,0.001279752,0.00007655819,0.00002210025,0.0001680893,0.00002057086,0.003996285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01266384,"threshold_uncertainty_score":0.04236478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2279450006848155,"score_gpt":0.5094462317921048,"score_spread":0.2815012311072893,"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."}}