{"id":"W2995434949","doi":"10.35188/unu-wider/2019/731-6","title":"Involuntary migration, inequality, and integration: National and subnational influences","year":2019,"lang":"en","type":"book","venue":"Working Paper Series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Development economics; Socioeconomic status; Social inequality; Vietnamese; Political science; Economic geography; Geography; Ethnic group; Poverty; Economic integration; Human capital; Demographic economics; Economic growth; Sociology; Economics; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006539966,0.0001057536,0.0001993456,0.0008216857,0.001022372,0.002228354,0.000222258,0.000167959,0.002978565],"category_scores_gemma":[0.001361337,0.00005957879,0.00006855264,0.002639364,0.003097384,0.00140441,0.002290164,0.0004715208,0.0001209997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289118,"about_ca_system_score_gemma":0.0008630242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975145,"about_ca_topic_score_gemma":0.03529128,"domain_scores_codex":[0.9995221,0.0002205153,0.00001316395,0.00005168049,0.00007106263,0.0001215622],"domain_scores_gemma":[0.9994313,0.0002790566,0.0001230285,0.00002385483,0.00004650792,0.00009617735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001118049,0.000131052,0.402337,0.0003160483,0.00005609876,0.001188628,0.1399219,0.0008596619,0.0005772603,0.264447,0.009538298,0.1805153],"study_design_scores_gemma":[0.000006657046,0.00007061558,0.7451,0.0007374315,0.00002561728,0.0004133552,0.1625308,0.0006586419,0.0002120269,0.03819595,0.05203012,0.00001889035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938937,0.01027109,0.0005490723,0.006814907,0.00007477569,0.00001290084,0.0001742747,0.000007338301,0.08820184],"genre_scores_gemma":[0.993349,0.003571676,0.00009705535,0.0001852757,0.00004307569,0.000008873088,0.00006922633,0.000005649326,0.002670182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01975145,"threshold_uncertainty_score":0.03927296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821495480368452,"score_gpt":0.2856057498615828,"score_spread":0.2573907950578983,"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."}}