{"id":"W4285464876","doi":"10.32920/ryerson.14641521","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; Human capital; Immigration; Selection (genetic algorithm); Educational attainment; Demographic economics; Economics; Selection bias; Psychology; Political science; Economic growth; Computer science; Medicine","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":[0.00141885,0.0002782352,0.0003529033,0.0007706885,0.0006034048,0.001526706,0.0004980804,0.0005938211,0.005494721],"category_scores_gemma":[0.004040671,0.000240739,0.000500872,0.0007041225,0.0006057012,0.0008035919,0.001155182,0.0005374572,0.0003631403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009436785,"about_ca_system_score_gemma":0.0004407619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478739,"about_ca_topic_score_gemma":0.009409598,"domain_scores_codex":[0.9995781,0.0001736296,0.00002040612,0.0000785829,0.00004143891,0.000107845],"domain_scores_gemma":[0.9986491,0.000539029,0.0005380095,0.0001432907,0.00005281106,0.00007778731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003822183,0.0004463798,0.6743128,0.0001042743,0.000366748,0.002324759,0.009409304,0.03337758,0.001345546,0.203337,0.002775837,0.07181763],"study_design_scores_gemma":[0.0002061543,0.0005474035,0.6427079,0.0002680867,0.0005342118,0.00170726,0.01130337,0.1666391,0.001208467,0.1573647,0.01737985,0.0001335453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852142,0.0004047363,0.006299356,0.000811127,0.00002125483,0.00003408418,0.0002837106,0.00002434607,0.006907186],"genre_scores_gemma":[0.9942805,0.0005009391,0.0009865545,0.00005401047,0.00001462237,0.00002959329,0.0001374838,0.00000493661,0.003991556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478739,"threshold_uncertainty_score":0.02940261,"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."}}