{"id":"W2801514685","doi":"","title":"Immigrants? Initial Firm Allocation and Earnings Growth","year":2016,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Immigration; Residence; Earnings growth; Human capital; Labour economics; Demographic economics; Economics; Business; Finance; Economic growth; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002310283,0.0001238448,0.0002520985,0.0001079189,0.001570998,0.0001144996,0.0002023067,0.00009827651,0.0004863721],"category_scores_gemma":[0.004656799,0.00008481135,0.00005783135,0.0004038583,0.002518107,0.0009895083,0.00015893,0.0001861672,0.0001493223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044345,"about_ca_system_score_gemma":0.0001221079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604495,"about_ca_topic_score_gemma":0.04044052,"domain_scores_codex":[0.9976815,0.0004609442,0.0002561028,0.000368201,0.0006061204,0.0006271463],"domain_scores_gemma":[0.9976985,0.001206857,0.00003929926,0.000151513,0.0006957105,0.0002080761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004082528,0.0002062535,0.3353235,0.0002167988,0.0007563635,0.00002200838,0.1458296,4.801573e-7,0.001405371,0.4019372,0.06391412,0.04997997],"study_design_scores_gemma":[0.0009243186,0.000456996,0.5121699,0.0001666846,0.0000464418,0.000003078987,0.04568938,0.000007633769,0.0005300303,0.04885154,0.3906435,0.0005105002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131517,0.00190201,0.00008059908,0.06159262,0.0001382234,0.0003557549,0.000007114048,0.00008326803,0.02268868],"genre_scores_gemma":[0.9737892,0.01664782,0.00003391642,0.0002247884,0.0004817845,0.00005669256,0.000001508854,0.000009916157,0.008754391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3530857,"threshold_uncertainty_score":0.9997288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09656701420156416,"score_gpt":0.4094120946597177,"score_spread":0.3128450804581536,"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."}}