{"id":"W7098645381","doi":"","title":"Assimilation via Prices or Quantities? Sources of Immigrant Earnings Growth in","year":2006,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Immigration; Assimilation (phonology); Unemployment; Census; Wage","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":[0.0009173274,0.0002158706,0.000350201,0.00139444,0.0003674501,0.001719904,0.0003135928,0.0003256931,0.003318499],"category_scores_gemma":[0.006676296,0.0002035156,0.0003251198,0.002359355,0.0007334694,0.001732058,0.001534666,0.001005809,0.0004016855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915775,"about_ca_system_score_gemma":0.000581405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05357245,"about_ca_topic_score_gemma":0.0433768,"domain_scores_codex":[0.9995567,0.0001050439,0.00004384068,0.00009414354,0.0001150092,0.0000852429],"domain_scores_gemma":[0.9958748,0.001254568,0.001926848,0.0002542745,0.0004055787,0.000283963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002046294,0.00008810114,0.9584985,0.00004579152,0.0001231937,0.000255074,0.001948472,0.001214575,0.0006334843,0.007739976,0.001495663,0.02775248],"study_design_scores_gemma":[0.00001123919,0.00003132409,0.9893579,0.0000482524,0.00004181365,0.00004961958,0.001632953,0.002893011,0.0002172001,0.002840485,0.002855156,0.00002115459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897329,0.0006672791,0.0005356637,0.001391245,0.00002908214,0.0000130486,0.0008808257,0.00002007821,0.006729878],"genre_scores_gemma":[0.9983766,0.000233058,0.0001137276,0.00004295446,0.00002999202,0.000003371147,0.0004287316,0.000005437646,0.0007661065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05357245,"threshold_uncertainty_score":0.1065212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770056190969327,"score_gpt":0.1972881256112834,"score_spread":0.1695875637015901,"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."}}