{"id":"W1571418159","doi":"","title":"Effects of Selection Criteria and Economic Opportunities on the Characteristics of Immigrants","year":2002,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Earnings; Selection (genetic algorithm); Demographic economics; Estimation; Product (mathematics); Set (abstract data type); Variety (cybernetics); Process (computing); Economics; Political science; Computer science; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000938632,0.00008234845,0.0002487687,0.00007751022,0.0005008843,0.00004532246,0.0001234692,0.00005061774,0.0004318671],"category_scores_gemma":[0.001308639,0.0000566801,0.0000430368,0.0001961209,0.001694154,0.0001640096,0.00005537974,0.0001389177,0.000007922067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004535017,"about_ca_system_score_gemma":0.0000358517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005246807,"about_ca_topic_score_gemma":0.005426958,"domain_scores_codex":[0.9985735,0.0004557398,0.0002317687,0.0001388246,0.0003497925,0.000250308],"domain_scores_gemma":[0.9980187,0.001470713,0.00005759648,0.00009658874,0.0002886018,0.00006780052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001921369,0.0002088114,0.005038173,0.0004705856,0.0004751738,0.000006111941,0.05625597,0.000001599785,0.002265103,0.9018614,0.01704374,0.01618124],"study_design_scores_gemma":[0.001813237,0.003462618,0.3671609,0.0008980949,0.000294291,0.000005328517,0.1797018,0.00536605,0.005581831,0.01960076,0.4150502,0.001064906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825652,0.0007536078,0.00000265374,0.01118018,0.00006780329,0.0002378417,0.00001549091,0.000012616,0.005164629],"genre_scores_gemma":[0.9678583,0.02870101,0.000007411563,0.0001286857,0.00008374477,0.00002003811,7.986249e-7,0.000005537809,0.00319448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8822606,"threshold_uncertainty_score":0.6242181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295571954949742,"score_gpt":0.3901344837372087,"score_spread":0.2605772882422345,"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."}}