{"id":"W3208311521","doi":"10.3386/w29418","title":"Immigration and Occupational Comparative Advantage","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Labour economics; Political science; Economics; Law","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":[0.001258994,0.0001456297,0.0003264454,0.001314086,0.0009887556,0.001269861,0.0002012226,0.0004394393,0.01306542],"category_scores_gemma":[0.005551693,0.0001011071,0.0004311635,0.001761555,0.0008968594,0.0005404336,0.001261718,0.0003750919,0.0005054802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011559,"about_ca_system_score_gemma":0.0004861708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981713,"about_ca_topic_score_gemma":0.01523878,"domain_scores_codex":[0.9995436,0.000129057,0.0000250302,0.00007478749,0.00007040881,0.0001571327],"domain_scores_gemma":[0.9950008,0.001690363,0.00165126,0.0003590628,0.0002367553,0.001061815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117284,0.00008044393,0.9777762,0.00003197688,0.0001485255,0.0001434467,0.0008084401,0.0006719442,0.0002737973,0.007396897,0.0005588652,0.01199213],"study_design_scores_gemma":[0.00000863504,0.00005654038,0.9944529,0.00002483722,0.00002968719,0.0000976482,0.001023321,0.0003942386,0.00006978749,0.002819378,0.001015347,0.000007705284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929994,0.0003913207,0.0001327237,0.0002217367,0.000006209679,0.000002529418,0.0001640486,0.000003857071,0.006078227],"genre_scores_gemma":[0.9992243,0.000094569,0.00004862219,0.00002277203,0.000007093683,0.000001463954,0.00009191563,0.000001250694,0.0005079707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01306542,"threshold_uncertainty_score":0.04370821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5464924816705411,"score_gpt":0.4889251355084954,"score_spread":0.05756734616204573,"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."}}