{"id":"W7164916356","doi":"10.1080/17153379.2017.12559297","title":"Decentering Citizenship: Gender, Labor, and Migrant Rights in South Korea.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Social and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Human rights; Migrant workers; Immigration; Irregular migration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008209285,0.0001249949,0.0001337261,0.0004601181,0.00155888,0.001351094,0.0003212322,0.000479565,0.004166299],"category_scores_gemma":[0.002353289,0.00009173949,0.0001225267,0.0006619157,0.001496072,0.002627421,0.002006418,0.001039282,0.0001736943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007608482,"about_ca_system_score_gemma":0.001492764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024339,"about_ca_topic_score_gemma":0.08025599,"domain_scores_codex":[0.9995412,0.000147357,0.00002386364,0.00003538856,0.00002912466,0.0002232172],"domain_scores_gemma":[0.9981061,0.0004060109,0.0007270573,0.0000643906,0.0001305313,0.0005658286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000175892,0.0003534316,0.7686442,0.0001162614,0.00003630381,0.001074817,0.1774559,0.0001102248,0.0004350157,0.01199949,0.003169239,0.03642916],"study_design_scores_gemma":[0.000005415044,0.00007207744,0.5551323,0.0001608803,0.00001983186,0.0001735524,0.4369346,0.0001352344,0.0001168389,0.001436367,0.005799669,0.0000131803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9963021,0.0002750652,0.00001496904,0.001066852,0.000008079622,0.000002436736,0.00002604296,4.890097e-7,0.002304049],"genre_scores_gemma":[0.9991673,0.0001326644,0.000006242127,0.00009472707,0.000002930753,0.000001925572,0.00001095665,5.447666e-7,0.0005826518],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.024339,"threshold_uncertainty_score":0.04839462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981206758297803,"score_gpt":0.285383474901157,"score_spread":0.2455714073181789,"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."}}