{"id":"W4285464872","doi":"10.32920/ryerson.14638545.v1","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":"Earnings; Immigration; Human capital; Selection (genetic algorithm); Demographic economics; Positive selection; Census; Correlation; Psychology; Economics; Developmental psychology; Demography; Sociology; Geography; Population; Economic growth; Computer science; Mathematics; Biology","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":[0.001207692,0.0002175145,0.0002964021,0.000688117,0.000607666,0.00137123,0.0004295748,0.0005618966,0.004308657],"category_scores_gemma":[0.003562658,0.000212973,0.000483711,0.0006144406,0.0004803725,0.0006303927,0.001036845,0.0004881777,0.000256225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000658738,"about_ca_system_score_gemma":0.0003130337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326738,"about_ca_topic_score_gemma":0.009251277,"domain_scores_codex":[0.9996481,0.0001338324,0.00002022546,0.00006490803,0.00003390256,0.00009904119],"domain_scores_gemma":[0.9985384,0.0005144163,0.0006596854,0.0001450598,0.00005085992,0.00009167122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003442539,0.000348696,0.8745081,0.00007470338,0.0002835541,0.002311275,0.008584469,0.01298085,0.001080625,0.0556927,0.001305899,0.04248489],"study_design_scores_gemma":[0.0001240757,0.0004000204,0.8746786,0.0001681941,0.0004025301,0.001220045,0.01145104,0.05692353,0.0007566163,0.04543306,0.008357968,0.00008439316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942505,0.0002527928,0.001670689,0.0004112802,0.000009853673,0.00001716054,0.0001267667,0.000008551293,0.003252441],"genre_scores_gemma":[0.9973015,0.0003210011,0.0004080789,0.00004560886,0.000009273003,0.00001570654,0.00008513872,0.000002008103,0.001811597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01326738,"threshold_uncertainty_score":0.0263803,"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."}}