{"id":"W2294774212","doi":"10.2139/ssrn.2746081","title":"Moving Parts: Immigration Policy, Internal Migration and Natural Resource Shocks","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Bureau de Coopération Interuniversitaire; Queen's University","funders":"","keywords":"Internal migration; Immigration; Immigration policy; Natural resource; Resource (disambiguation); Natural resource economics; Economics; Development economics; Economic geography; Demographic economics; Political science; Computer science; Economic growth; Developing country; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530603,0.0001037041,0.00009779413,0.0001435373,0.0005378472,0.0001641586,0.000160886,0.00008072339,0.00003358317],"category_scores_gemma":[0.0002920645,0.00007285955,0.00005687328,0.0001821233,0.0001152718,0.0004873723,0.00002053101,0.0005384125,0.000008813057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029063,"about_ca_system_score_gemma":0.001363732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919905,"about_ca_topic_score_gemma":0.2711618,"domain_scores_codex":[0.9980257,0.0002209406,0.0002260688,0.0001536795,0.0003169296,0.001056707],"domain_scores_gemma":[0.9994761,0.00007955846,0.0001549004,0.00007659598,0.000103614,0.0001091827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007648442,0.00002664768,0.01608753,0.00000210667,0.00005623978,0.000001683486,0.0119884,0.000006724937,0.002663902,0.764588,0.0005636836,0.2039386],"study_design_scores_gemma":[0.002981992,0.0006337378,0.0108728,0.0002561222,0.00009087759,0.0004413,0.09987324,0.004529612,0.0004438854,0.3897588,0.4889908,0.001126804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474978,0.001139434,0.01864466,0.03079538,0.0001994098,0.0001145242,0.000002770572,0.00005776055,0.001548271],"genre_scores_gemma":[0.9794647,0.006212515,0.00004377123,0.000277928,0.0008362008,0.000002668325,0.000002505053,0.00001024482,0.01314944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884272,"threshold_uncertainty_score":0.7421376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004805726342909725,"score_gpt":0.2608761130422383,"score_spread":0.2560703866993286,"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."}}