{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002207418,0.00007335109,0.00008809993,0.000008368337,0.0005266356,0.0001232456,0.00004209175,0.00009985101,0.0001044201],"category_scores_gemma":[0.00006701587,0.00006562131,0.00004809138,0.0001265208,0.000206616,0.0002896501,0.00001162844,0.00008176114,0.00001068139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002449635,"about_ca_system_score_gemma":0.0000566905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007185281,"about_ca_topic_score_gemma":0.006497324,"domain_scores_codex":[0.9993314,0.0000730864,0.000130292,0.0001780895,0.0001714109,0.0001157556],"domain_scores_gemma":[0.9996749,0.00002857407,0.00004311073,0.00004752544,0.00006744718,0.0001384733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001559646,0.00003839002,0.008211638,0.00004076018,0.00002880973,5.380788e-7,0.6977889,0.000007464129,0.002635707,0.1170372,0.1415812,0.03261373],"study_design_scores_gemma":[0.0002589245,0.00007514711,0.004554173,0.000008669581,0.00001380692,4.167682e-7,0.0562424,0.006324356,0.0003932406,0.0007520472,0.931217,0.0001598213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953817,0.0008703129,0.02312893,0.0164882,0.0001051069,0.0002660969,0.000008031908,0.0001495952,0.005166775],"genre_scores_gemma":[0.992184,0.002216994,0.0006349917,0.003687276,0.0002153466,0.000008677946,0.00001885243,0.00000520722,0.001028692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7896358,"threshold_uncertainty_score":0.4050509,"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."}}