{"id":"W2151575959","doi":"","title":"An Analysis of the Underlying Causes of the Poor Performance of Recent Immigrants Using the 2006 Census PUMF and Some Observations on Their Implications for Immigration Policy","year":2010,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Microdata (statistics); Census; Demographic economics; Public use; Geography; Political science; Economics; Demography; Sociology; Population","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":[0.0009647134,0.000192901,0.0001946315,0.002211202,0.0009181665,0.0006728502,0.0004315823,0.0002778428,0.001633127],"category_scores_gemma":[0.005325626,0.0001180329,0.0002476875,0.005775513,0.0004025393,0.0003156842,0.0004872588,0.0003913577,0.0002205384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002599393,"about_ca_system_score_gemma":0.004027909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.75764,"about_ca_topic_score_gemma":0.8450189,"domain_scores_codex":[0.999467,0.0000917647,0.00003573738,0.00004940731,0.0001721579,0.0001839493],"domain_scores_gemma":[0.9967592,0.0004009707,0.001196963,0.0001214924,0.001304947,0.0002163416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002988062,0.00001619036,0.9844611,0.00003190436,0.00002547974,0.00009977653,0.001272168,0.00026025,0.000123791,0.0004850317,0.001977364,0.01121707],"study_design_scores_gemma":[6.977873e-7,0.000006328853,0.9966912,0.00001646666,0.00000655903,0.00002858448,0.001688035,0.0002957627,0.00005092833,0.00003706628,0.001173383,0.000004945659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990798,0.0005547453,0.0002460323,0.0009549806,0.00001151658,0.00002766121,0.004595144,0.000008431142,0.002803392],"genre_scores_gemma":[0.993958,0.0007906975,0.0002641021,0.0000562587,0.0000158913,0.00001661428,0.003257877,0.000004545533,0.001635924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.75764,"threshold_uncertainty_score":0.4875746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06523195396385081,"score_gpt":0.3045735454791377,"score_spread":0.2393415915152869,"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."}}