{"id":"W1584850488","doi":"","title":"Self-Selection in Migration and Returns to Skills","year":2006,"lang":"en","type":"article","venue":"Cahiers de recherche","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Unobservable; Earnings; Wage; Economics; Productivity; Econometrics; Selection (genetic algorithm); sort; Microeconomics; Labour economics; Computer science; Finance","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":[0.001890598,0.00004849083,0.00005801129,0.00008497422,0.0001057605,0.00005111592,0.00004768657,0.0003550739,0.00001775552],"category_scores_gemma":[0.0005682909,0.00005166873,0.00001439348,0.0005749516,0.0000438074,0.0000870208,0.000003373353,0.0002921049,0.000007088396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009553349,"about_ca_system_score_gemma":0.0001429239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257974,"about_ca_topic_score_gemma":0.2378165,"domain_scores_codex":[0.9988835,0.0006519812,0.00009529516,0.0001169652,0.00009214368,0.000160083],"domain_scores_gemma":[0.9996482,0.0001790199,0.00002379547,0.00003602408,0.00004465152,0.00006827755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000040489,0.0003134546,0.09217805,0.00003708146,0.00001795106,0.000006053643,0.4911228,0.0005205196,0.01328709,0.3521982,0.009950186,0.04032806],"study_design_scores_gemma":[0.0008632212,0.0001295018,0.09736444,0.00005285555,0.00003476021,0.00000663544,0.02692006,0.01440471,0.003220896,0.0621713,0.7941191,0.0007125523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970992,0.00005210086,0.002495999,0.002819099,0.000040887,0.000185182,0.000001162323,0.00007380102,0.02333973],"genre_scores_gemma":[0.9544234,0.000679061,0.02888626,0.0007122184,0.0001558299,0.00002205522,0.000005803671,0.000009238029,0.01510615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7841689,"threshold_uncertainty_score":0.7760913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433154352704582,"score_gpt":0.3464832930864414,"score_spread":0.3121517495593956,"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."}}