{"id":"W4231803379","doi":"10.1002/9781118786352.wbieg0998.pub2","title":"Migration: International","year":2019,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University","funders":"","keywords":"Diversity (politics); Economic geography; State (computer science); Globalization; Feminization (sociology); Migration studies; Geography; Human migration; Political science; Colonization; Internal migration; Sociology; Population; Gender studies; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008512938,0.0008631583,0.0004048485,0.002850035,0.002642261,0.01256647,0.0007095122,0.001609339,0.1992873],"category_scores_gemma":[0.0027134,0.0001823195,0.000267652,0.006425758,0.002259889,0.00756119,0.004365092,0.00215137,0.06708124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134349,"about_ca_system_score_gemma":0.003219742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003849921,"about_ca_topic_score_gemma":0.004671415,"domain_scores_codex":[0.9991378,0.0002383185,0.00007478386,0.0001565121,0.0002565673,0.0001360501],"domain_scores_gemma":[0.9991721,0.0001236207,0.0001077983,0.0001446537,0.000217468,0.0002344075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002371488,0.00003083249,0.0006486893,0.000398863,0.000004393493,0.0001390758,0.002664761,0.00004962404,0.0001665186,0.1845077,0.6191642,0.1922016],"study_design_scores_gemma":[7.1912e-7,0.000003192538,0.0003587648,0.0001213724,6.746944e-7,0.00006480292,0.0004710919,0.000007714623,0.00001419635,0.002332459,0.9966234,0.000001579954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001000524,0.01165752,0.0004874267,0.004437178,0.003658453,0.00004113614,0.0009728497,0.0001523299,0.9775926],"genre_scores_gemma":[0.01973492,0.01760892,0.000822769,0.002094747,0.001980199,0.0001056601,0.00142713,0.0002674506,0.9559583],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1992873,"threshold_uncertainty_score":0.6666822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006068912477615243,"score_gpt":0.271522108483805,"score_spread":0.2654531960061897,"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."}}