{"id":"W1981531927","doi":"10.1111/imig.12176","title":"Let States Nominate Immigrants? Reconsidering <scp>US</scp> Immigrant Entry Policymaking","year":2014,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; NOMINATE; Government (linguistics); Context (archaeology); Immigration policy; Political science; New immigrants; Population; Development economics; Political economy; Economics; Sociology; Law; Geography; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.0008014876,0.0001794752,0.0001685626,0.0002460866,0.00040349,0.000356505,0.0003339728,0.0001287805,0.0001630042],"category_scores_gemma":[0.001042519,0.0001882722,0.0001142814,0.0002378201,0.0001219662,0.0005804034,0.00004044219,0.0001736975,0.0001620017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024859,"about_ca_system_score_gemma":0.00009351566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01012266,"about_ca_topic_score_gemma":0.1601808,"domain_scores_codex":[0.9981299,0.0002142444,0.0004257277,0.0003248467,0.0005501963,0.0003550898],"domain_scores_gemma":[0.998704,0.000415968,0.0002643973,0.0001700656,0.0003126506,0.0001329751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007230093,0.0004609936,0.1315128,0.00006130305,0.0003581377,0.00002234947,0.3064498,0.007448087,0.01619903,0.4077022,0.04640943,0.0833035],"study_design_scores_gemma":[0.0005687307,0.00004223668,0.0141211,0.00008074372,0.00002264501,0.000007136087,0.0118593,0.06472759,0.001619791,0.005537321,0.9012265,0.0001869125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965695,0.00005915999,0.006419159,0.005346446,0.001210719,0.0002156049,0.000040788,0.0001787357,0.02083435],"genre_scores_gemma":[0.9884074,0.0004728783,0.0008701525,0.001370363,0.0008204781,0.00003002185,0.00016112,0.00002181462,0.0078458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8548171,"threshold_uncertainty_score":0.996469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615532702184518,"score_gpt":0.2852719531895576,"score_spread":0.2691166261677124,"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."}}