{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002898845,0.0002810615,0.0005082161,0.001200388,0.0005988888,0.001219988,0.0005231677,0.0008457184,0.007373639],"category_scores_gemma":[0.01267004,0.000227419,0.0007579766,0.001145798,0.001675709,0.0008054809,0.0009796824,0.0006931835,0.0006537237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057398,"about_ca_system_score_gemma":0.0007426229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431916,"about_ca_topic_score_gemma":0.02416149,"domain_scores_codex":[0.9989805,0.000390222,0.00005938256,0.0001616993,0.00009742098,0.0003107954],"domain_scores_gemma":[0.9901152,0.004989393,0.002926409,0.0006871292,0.0004231674,0.0008587469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002155472,0.0002343714,0.9351252,0.00006748582,0.0002283561,0.0005404881,0.001279054,0.01335047,0.0005795953,0.02256684,0.0007248902,0.02508772],"study_design_scores_gemma":[0.0000903638,0.0003379663,0.9099667,0.00006351766,0.0001357423,0.0006254732,0.002260211,0.04704732,0.0006418707,0.03548932,0.003293962,0.0000474216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920166,0.0003428093,0.004520394,0.0005350759,0.00001353958,0.00003529804,0.0001219482,0.00003061983,0.002383821],"genre_scores_gemma":[0.9967542,0.0001799682,0.0003756487,0.0000417659,0.00001115344,0.000009284529,0.00007186679,0.000004300242,0.002551775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431916,"threshold_uncertainty_score":0.04835516,"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."}}