{"id":"W42484897","doi":"","title":"Китайские диаспоры США и Канады и «Новая» китайская миграция","year":2012,"lang":"ru","type":"article","venue":"Vestnik Tomskogo gosudarstvennogo universiteta Filologiya","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Immigration; Fell; Citizenship; Political science; China; Immigration policy; Deportation; Chinese americans; Geography; Development economics; History; Economic history; Economics; Law; Politics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002887285,0.001361208,0.001542164,0.0009436005,0.003018377,0.0004479841,0.002564311,0.001701527,0.01466786],"category_scores_gemma":[0.0005358215,0.001525904,0.0009660494,0.002422033,0.002269016,0.004214474,0.0008850599,0.001505885,0.009149428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475372,"about_ca_system_score_gemma":0.001009107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003994555,"about_ca_topic_score_gemma":0.003630543,"domain_scores_codex":[0.9902714,0.001593327,0.001369009,0.001712962,0.001260138,0.00379317],"domain_scores_gemma":[0.9939373,0.0008006259,0.001157283,0.00172463,0.0004909231,0.001889271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006332938,0.003477718,0.2763617,0.0004496987,0.001684554,0.0003053113,0.2229408,0.0002404422,0.001197102,0.1470757,0.3332049,0.0124288],"study_design_scores_gemma":[0.002293181,0.0007413923,0.05196334,0.0001919858,0.0008900681,0.0000726673,0.05819058,0.0003081883,0.0003966847,0.001958202,0.8801953,0.00279843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7571859,0.007179107,0.000493881,0.004904535,0.007211484,0.001504723,0.0004257268,0.0007873849,0.2203072],"genre_scores_gemma":[0.9174853,0.003503145,0.001268888,0.001559323,0.00379168,0.00001997108,0.0002401526,0.0001420668,0.07198948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5469903,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290928977904266,"score_gpt":0.2592605589803544,"score_spread":0.2301676611899278,"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."}}