{"id":"W2794240822","doi":"10.17953/1545-0317.15.1.57","title":"Talent Selection and the Reshaping of Asian North America","year":2017,"lang":"en","type":"article","venue":"AAPI Nexus Policy Practice and Community","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; Refugee; Development economics; Demographic 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":[0.002241922,0.0001322855,0.0001257935,0.0009527212,0.009285692,0.00325895,0.0005970263,0.0006223352,0.004804795],"category_scores_gemma":[0.002354528,0.00008462393,0.0001271351,0.001013124,0.00605417,0.001521566,0.004214826,0.001543441,0.0002951155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007248695,"about_ca_system_score_gemma":0.01483264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2203934,"about_ca_topic_score_gemma":0.3961884,"domain_scores_codex":[0.9988695,0.0003735643,0.00002590572,0.00008932458,0.0001598532,0.0004818394],"domain_scores_gemma":[0.9984012,0.0001157896,0.0001533944,0.00006569239,0.0002624047,0.001001387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001066749,0.0004018483,0.09933148,0.000156931,0.00003463411,0.001587198,0.255399,0.0004333986,0.001997388,0.3571751,0.05043454,0.2329417],"study_design_scores_gemma":[0.00002603839,0.0001196802,0.2837004,0.0005526837,0.00002713341,0.0004307598,0.307215,0.0008588478,0.0009782487,0.04500483,0.3610242,0.00006221754],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236821,0.002700144,0.000495397,0.07303582,0.0003417652,0.00002234634,0.00004721549,0.00003094516,0.1996442],"genre_scores_gemma":[0.9799963,0.001296396,0.0001927182,0.00369327,0.00007495641,0.00001581644,0.0000171262,0.0000118814,0.0147014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7796066,"threshold_uncertainty_score":0.4382212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05598060566561228,"score_gpt":0.3709111681921253,"score_spread":0.314930562526513,"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."}}