{"id":"W2118575437","doi":"10.1177/011719680101000310","title":"Migration, Development and US Labor Markets: The Mexican-US Case","year":2001,"lang":"en","type":"article","venue":"Asian and Pacific migration journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Immigration; Latin Americans; Harm; Investment (military); Foreign direct investment; Labor mobility; Human migration; Economics; Unintended consequences; Demographic economics; Labour economics; Development economics; Population; Business; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613961,0.0002058433,0.0001867423,0.00122717,0.002867463,0.001860631,0.000418417,0.0008979825,0.003806586],"category_scores_gemma":[0.001269762,0.0001241148,0.0003380121,0.003309164,0.001300262,0.001037374,0.001906827,0.000768747,0.0001341395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003013378,"about_ca_system_score_gemma":0.00132144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1884364,"about_ca_topic_score_gemma":0.2008444,"domain_scores_codex":[0.9996308,0.0001155134,0.000009001842,0.00001934774,0.00002197007,0.0002032761],"domain_scores_gemma":[0.999635,0.00009170654,0.0001250837,0.00001767181,0.00003471664,0.00009585856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005066496,0.0007419297,0.5780851,0.000185366,0.00007801628,0.01720077,0.01858495,0.005187112,0.0003518012,0.3111036,0.01466601,0.05330876],"study_design_scores_gemma":[0.000375323,0.000436092,0.6054415,0.0007054468,0.0001984651,0.008683737,0.139985,0.01385251,0.0005979192,0.04235545,0.1872481,0.000120557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517376,0.002478548,0.0002360151,0.005068571,0.0000305461,0.00002710085,0.0003905705,0.000008788154,0.04002219],"genre_scores_gemma":[0.9956298,0.001853917,0.0001554835,0.0001956731,0.00001433432,0.00001959483,0.0001079747,0.000002503137,0.002020673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884364,"threshold_uncertainty_score":0.3746792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157956519681436,"score_gpt":0.2568946642769147,"score_spread":0.2453150990801003,"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."}}