{"id":"W3124139283","doi":"","title":"Moving Parts: Immigration Policy, Internal Migration and Natural resource Shocks","year":2016,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Immigration; Government (linguistics); Immigration policy; Unintended consequences; Business; Labour economics; Enforcement; Backlash; Competition (biology); Economics; Political science; Engineering","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":[0.0003229057,0.0001256595,0.0001115697,0.0001260978,0.0005650107,0.0001343964,0.000182696,0.00007467867,0.00006228247],"category_scores_gemma":[0.0001275679,0.00009696187,0.00004372944,0.00018047,0.0003163782,0.0008741982,0.00007058026,0.0001154726,0.00001023348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886944,"about_ca_system_score_gemma":0.0000929866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007556511,"about_ca_topic_score_gemma":0.1519819,"domain_scores_codex":[0.9989281,0.0001350196,0.0002177661,0.0002149757,0.0002510005,0.000253163],"domain_scores_gemma":[0.9994809,0.0000807395,0.00009553759,0.0001514652,0.00005800596,0.000133376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002537302,0.0002275261,0.145455,0.00003591483,0.0001391546,0.00003517394,0.08100267,0.00005348133,0.008463299,0.1603561,0.2014105,0.4025674],"study_design_scores_gemma":[0.0004877216,0.00003405329,0.004414973,0.0000921494,0.00001273993,0.000004205908,0.004157635,0.000608026,0.0002449524,0.0006478509,0.9890929,0.0002028228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377708,0.000241537,0.003290357,0.1551806,0.0006634117,0.0002308534,0.00002794314,0.0001145503,0.002480011],"genre_scores_gemma":[0.9878174,0.0006432618,0.0002756068,0.008479498,0.0007034899,0.00001314109,0.00005871224,0.000008942949,0.001999963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7876823,"threshold_uncertainty_score":0.9990522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209738506121275,"score_gpt":0.2824219518486479,"score_spread":0.2703245667874351,"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."}}