{"id":"W4232325474","doi":"10.31235/osf.io/tke2q","title":"Talent Selection and the Reshaping of Asian North America","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Immigration; Socioeconomic status; Asian americans; Nationality; Diversity (politics); Political science; Demographic economics; Refugee; Development economics; Economic growth; Geography; Ethnic group; Demography; Sociology; Population; Economics","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":[0.0008336823,0.0001214672,0.0001370375,0.0009120891,0.004003861,0.002324106,0.0003295653,0.0002478389,0.004796833],"category_scores_gemma":[0.001226427,0.00006971716,0.0001186401,0.001172026,0.003192383,0.001099889,0.001867597,0.0007358112,0.0002731648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890081,"about_ca_system_score_gemma":0.003207178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1599258,"about_ca_topic_score_gemma":0.2902394,"domain_scores_codex":[0.9996929,0.00006719163,0.000007239581,0.0000445213,0.00004870334,0.0001393884],"domain_scores_gemma":[0.9992104,0.00004704332,0.0001101003,0.00004528722,0.0001462927,0.0004409374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003092581,0.0003539263,0.3566514,0.0001198582,0.00008086206,0.001863726,0.2077082,0.0005486106,0.003552612,0.198713,0.02877726,0.2013211],"study_design_scores_gemma":[0.00001662368,0.00004886084,0.8215126,0.0001020704,0.00002264753,0.0002814975,0.08656611,0.0005272661,0.0004709819,0.02193701,0.06848478,0.00002953468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313512,0.000824686,0.000172074,0.006711425,0.00007612231,0.000006217886,0.00006323998,0.00001180562,0.06078331],"genre_scores_gemma":[0.9924666,0.0005681967,0.00008627764,0.000447043,0.00003592306,0.000004134042,0.00002928788,0.000008243461,0.006354084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599258,"threshold_uncertainty_score":0.3179899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840333307650804,"score_gpt":0.2950752866042851,"score_spread":0.2666719535277771,"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."}}