{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002100533,0.000194317,0.0002291996,0.0008493802,0.00004454873,0.00005893755,0.0008691516,0.0003143679,0.01342652],"category_scores_gemma":[0.0001232579,0.0002061892,0.0002484438,0.0002516567,0.0002190711,0.0001300922,0.00006446784,0.0001746914,0.0003314933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004882039,"about_ca_system_score_gemma":0.0001838792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005787473,"about_ca_topic_score_gemma":0.01687685,"domain_scores_codex":[0.9981144,0.00006649488,0.0003506565,0.0003045167,0.0009812688,0.0001826317],"domain_scores_gemma":[0.9988847,0.00006662151,0.0004556857,0.000240731,0.0002689733,0.00008325548],"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":[0.00001552953,0.000123338,0.03155952,0.00001907397,0.0003430531,0.000003636696,0.001400124,0.00001677944,0.000002156533,0.105405,0.856279,0.00483275],"study_design_scores_gemma":[0.0002272828,0.00001220548,0.0007619621,0.00008588255,0.00002038371,4.808304e-7,0.0003975316,0.00007282367,7.52845e-7,0.0003298051,0.9978887,0.0002022331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001753272,0.0002863321,0.0002370436,0.002910712,0.006667703,0.0002901291,0.0003499039,0.0001520547,0.9889308],"genre_scores_gemma":[0.001374407,0.0157871,0.0009832075,0.0002502261,0.001570881,0.00002431881,0.0004386953,0.0001233334,0.9794478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1416097,"threshold_uncertainty_score":0.9874753,"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."}}