{"id":"W3121721534","doi":"","title":"The dynamics of immigrant participation in entitlement programs: evidence from Canada, 19932007","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Entitlement (fair division); Demographic economics; Political science; Welfare; Geography; Economics","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":[0.001722977,0.0004577176,0.000448043,0.003655945,0.003142739,0.001895105,0.001812032,0.0006107041,0.003226593],"category_scores_gemma":[0.0046686,0.000425744,0.0007670266,0.01119057,0.001039929,0.0004562348,0.001956584,0.0007803559,0.0005270602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02961412,"about_ca_system_score_gemma":0.04642902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974962,"about_ca_topic_score_gemma":0.9986512,"domain_scores_codex":[0.9980817,0.0001649538,0.0001220023,0.0002360964,0.0006462684,0.0007489814],"domain_scores_gemma":[0.9941047,0.0004329673,0.00136677,0.0002548655,0.002722519,0.001118177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002360852,0.00007862061,0.956672,0.0002571661,0.0001757497,0.0001459671,0.006578452,0.0003234617,0.0002094543,0.0007855878,0.0108994,0.023638],"study_design_scores_gemma":[0.00001023054,0.00001666457,0.9897485,0.00009152445,0.00004149451,0.00001958032,0.003657853,0.0001473786,0.00007607366,0.00002477036,0.006152196,0.000013659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389414,0.003675576,0.0001929539,0.00163882,0.00002700785,0.0001053612,0.04699105,0.00003138788,0.008396436],"genre_scores_gemma":[0.9686787,0.003426809,0.0004692278,0.0004319774,0.00001531281,0.0001045812,0.01969698,0.00001883756,0.00715767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02961412,"threshold_uncertainty_score":0.2148665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415114008141661,"score_gpt":0.3005432984026217,"score_spread":0.2863921583212051,"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."}}