{"id":"W2923137015","doi":"","title":"Review of Diaspora's Homeland: Modern China in the Age of Global Migration by Shelly Chan","year":2019,"lang":"en","type":"article","venue":"Postcolonial text","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diaspora; Homeland; China; History; Political science; Sociology; Gender studies; Archaeology; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000938127,0.000073566,0.0002260743,0.00001792222,0.00005814698,0.00001407001,0.000269286,0.00007007564,0.0002493625],"category_scores_gemma":[0.00008906818,0.00005709085,0.00007143128,0.000253828,0.00008476575,0.000141812,0.00001807175,0.0000631477,0.00003184116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005216715,"about_ca_system_score_gemma":0.00009512234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.024325,"about_ca_topic_score_gemma":0.05588622,"domain_scores_codex":[0.9990195,0.0002063446,0.0002850836,0.0001319751,0.0001998765,0.0001572366],"domain_scores_gemma":[0.9995435,0.00005583839,0.0001698707,0.000161373,0.00004357454,0.00002584877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372332,0.0006895936,0.6105673,0.00222081,0.00005175144,0.000004534158,0.3243507,0.00003278939,0.001094815,0.01661048,0.02746495,0.01677507],"study_design_scores_gemma":[0.001155891,0.0005192925,0.9171439,0.001571763,0.00006734621,0.00000243007,0.006095006,0.0002494629,0.0002292268,0.008705684,0.06378251,0.0004774572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787907,0.007139954,0.0000219443,0.003093428,0.0001234652,0.0005822649,0.00003869192,0.000007554367,0.010202],"genre_scores_gemma":[0.9934756,0.005724785,0.00001861652,0.0004598178,0.0000658337,0.00001203017,0.0000305576,0.000003284495,0.0002094953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3182557,"threshold_uncertainty_score":0.9821721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229720706100357,"score_gpt":0.2869481717685318,"score_spread":0.2746509647075283,"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."}}