{"id":"W4285464921","doi":"10.32920/ryerson.14639043","title":"Intergenerational Transmission of Abilities and Self Selection of Mexican Immigrants","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Human capital; Immigration; Earnings; Educational attainment; Demographic economics; Selection (genetic algorithm); Economics; Overlapping generations model; Labour economics; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008959216,0.0001892414,0.0002025902,0.0004827153,0.0003794459,0.0008132771,0.000323119,0.0003694709,0.002850001],"category_scores_gemma":[0.003232348,0.000153638,0.0002861556,0.000324378,0.0005060459,0.0005424535,0.0006402148,0.0002917976,0.0002403216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747848,"about_ca_system_score_gemma":0.0002929195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008241935,"about_ca_topic_score_gemma":0.00624789,"domain_scores_codex":[0.9998143,0.0000866347,0.000007052079,0.00003071998,0.00001666928,0.00004461725],"domain_scores_gemma":[0.9990798,0.0003782556,0.0003105937,0.0001021763,0.00004933375,0.00007975809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003822783,0.0003291107,0.7567094,0.00005771412,0.0002472853,0.002619389,0.00648601,0.05694366,0.002711161,0.1141933,0.00144593,0.05787476],"study_design_scores_gemma":[0.00009501397,0.000379448,0.636138,0.0001205411,0.0002163495,0.001212977,0.007654588,0.2588427,0.001039416,0.08840676,0.005800919,0.00009336462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957169,0.00009545588,0.002235907,0.0002290724,0.000006130598,0.000006655076,0.00005729918,0.000009772034,0.001642828],"genre_scores_gemma":[0.9981378,0.0001358127,0.0003454051,0.00002127145,0.000004285837,0.000007133214,0.00003696679,0.000002571322,0.001308601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008241935,"threshold_uncertainty_score":0.01638788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241836331210768,"score_gpt":0.2844526128459469,"score_spread":0.2720342495338392,"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."}}