{"id":"W1480440215","doi":"10.1177/001979390806100304","title":"The Immigrant Wage Differential within and across Establishments","year":2008,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Wage; Demographic economics; Differential (mechanical device); Sorting; Labour economics; Quality (philosophy); New immigrants; Geography; Economics; Engineering","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":[0.001073682,0.00009943299,0.0002324695,0.001559515,0.0007052144,0.0007567414,0.0005041101,0.0002433765,0.00198798],"category_scores_gemma":[0.002552398,0.00008630026,0.0002052669,0.002712184,0.0003924505,0.0002447345,0.000499297,0.000163293,0.0001678072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566874,"about_ca_system_score_gemma":0.003170176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5018607,"about_ca_topic_score_gemma":0.7387277,"domain_scores_codex":[0.9992378,0.0001083281,0.00003947065,0.00009918104,0.000340316,0.0001750208],"domain_scores_gemma":[0.9992274,0.0001267716,0.0002002189,0.00003526037,0.0003284966,0.00008184829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003723316,0.00006961443,0.6631832,0.0009231331,0.0001730407,0.0009418207,0.007451307,0.0007350863,0.001822773,0.01184078,0.006189324,0.3062975],"study_design_scores_gemma":[0.000007059745,0.00003296378,0.9849599,0.0001793984,0.00003449691,0.0001523048,0.003563791,0.0001079048,0.0001674345,0.0003991724,0.01038753,0.000007995757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524997,0.01543409,0.0002111325,0.0007023335,0.00005303547,0.00002095275,0.0008590444,0.000009917334,0.03020987],"genre_scores_gemma":[0.9920333,0.00496568,0.0001072431,0.00009641247,0.00001060302,0.000004661231,0.0003460228,0.000001825161,0.002434163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018607,"threshold_uncertainty_score":0.9978791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621947382383718,"score_gpt":0.3197171739003792,"score_spread":0.2734977000765421,"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."}}