{"id":"W1564394995","doi":"10.3386/w12327","title":"A Comparative Analysis of the Labor Market Impact of International Migration: Canada, Mexico, and the United States","year":2006,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Geography; Economics","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":[0.0051812,0.0001198964,0.0005078411,0.0007573716,0.0002046993,0.00004926137,0.0005837051,0.0001351073,0.0008518369],"category_scores_gemma":[0.001053362,0.0000758876,0.0002446986,0.001265392,0.001347194,0.00007496467,0.00008475397,0.0002939005,3.351477e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666752,"about_ca_system_score_gemma":0.01239744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9492255,"about_ca_topic_score_gemma":0.9858087,"domain_scores_codex":[0.9961508,0.0008200427,0.0006836595,0.0001995054,0.001978311,0.0001676747],"domain_scores_gemma":[0.9923967,0.002021369,0.0007599285,0.0001924472,0.004579238,0.00005033599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000304565,0.0001046949,0.1138993,0.00004350771,0.005578904,4.538602e-7,0.007110127,0.07563806,0.00001073745,0.3115804,0.4856687,0.00006055446],"study_design_scores_gemma":[0.001722515,0.0000780868,0.4718505,0.000137675,0.0006488407,0.000001855433,0.008492718,0.2560295,0.0000577038,0.02951159,0.2310676,0.0004014238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4718204,0.0007149536,0.000008780165,0.01083043,0.0004068844,0.001078281,0.006703893,0.000006187521,0.5084301],"genre_scores_gemma":[0.9853129,0.001530636,0.00001699502,0.00002621932,0.0001148221,0.00002235034,0.001332656,0.000005728168,0.01163771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5134925,"threshold_uncertainty_score":0.9932014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143014258698815,"score_gpt":0.5017932094625692,"score_spread":0.3587789507637542,"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."}}