{"id":"W3021457003","doi":"10.3167/arms.2020.030111","title":"Expat, Local, and Refugee","year":2020,"lang":"en","type":"article","venue":"Migration and Society","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Expatriate; Refugee; Political science; Division of labour; Humanitarian aid; Work (physics); Development economics; Economic growth; Geography; Engineering; Economics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536915,0.0003384784,0.0003896407,0.0009576009,0.004413911,0.003981256,0.000495603,0.0007624733,0.01457595],"category_scores_gemma":[0.003210534,0.0001442919,0.0001731872,0.001747146,0.006821428,0.002772643,0.006023579,0.001377584,0.0009671919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139546,"about_ca_system_score_gemma":0.002033049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007065317,"about_ca_topic_score_gemma":0.02732717,"domain_scores_codex":[0.9989336,0.0005287331,0.00005256615,0.0001108863,0.0001159146,0.0002584329],"domain_scores_gemma":[0.9986289,0.000330651,0.000216209,0.00008736715,0.0001331189,0.0006039296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001973813,0.0003741133,0.1655956,0.0006718324,0.00005491513,0.002323382,0.5715926,0.0001557969,0.0006182169,0.1307819,0.02123798,0.1063962],"study_design_scores_gemma":[0.0000115465,0.0001822625,0.08254603,0.000502883,0.00001774639,0.0009534282,0.7783871,0.00004943243,0.0001138208,0.006700661,0.1305101,0.00002505369],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849279,0.01047784,0.0008704285,0.02246208,0.0004741125,0.00006595473,0.0002149053,0.00001947195,0.1804873],"genre_scores_gemma":[0.964853,0.004807381,0.0002280917,0.003142832,0.0001281754,0.00006779892,0.00007457859,0.00001325645,0.02668498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457595,"threshold_uncertainty_score":0.04876143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069619909230874,"score_gpt":0.2796548866476932,"score_spread":0.2589586875553844,"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."}}