{"id":"W4415205553","doi":"10.1007/978-981-99-8001-7_18-1","title":"Waves of Migration: Exploring the Historical Context of East Asia","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emigration; Immigration; Refugee; Population; Context (archaeology); East Asia; Geographic mobility; Quarter (Canadian coin); Ukrainian","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004214829,0.0001365521,0.0003459557,0.00008390261,0.0001456037,0.00001412414,0.0003953939,0.0001613393,0.001453619],"category_scores_gemma":[0.0001035241,0.0001097119,0.0001627954,0.00003260235,0.0003176389,0.00008542716,0.00006887297,0.0001502984,0.00003854659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000633119,"about_ca_system_score_gemma":0.0005175387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222185,"about_ca_topic_score_gemma":0.002441322,"domain_scores_codex":[0.9989068,0.0000367322,0.0004643972,0.0001809407,0.0002855293,0.0001256227],"domain_scores_gemma":[0.9989954,0.0003185827,0.0002958776,0.0002176455,0.0001340302,0.00003848319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004544105,0.000007181204,0.0002185565,0.00001882017,0.00007482641,4.203038e-7,0.01482189,1.19487e-7,0.000002231112,0.9153118,0.04616152,0.02337817],"study_design_scores_gemma":[0.00006422793,0.000009763919,0.0001248529,0.00008052999,0.00002792119,1.213412e-7,0.008118948,7.411692e-7,0.00004492298,0.008117359,0.9832943,0.0001163188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002165908,0.0003686708,0.00003308551,0.004860822,0.001416719,0.0002326481,0.000006466631,0.00002884234,0.9928362],"genre_scores_gemma":[0.03043115,0.0004429547,0.0003392184,0.00009328016,0.0001996332,0.00001762007,0.000004609451,0.00001095499,0.9684606],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9371328,"threshold_uncertainty_score":0.9994592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08357967618898282,"score_gpt":0.2722207269739935,"score_spread":0.1886410507850106,"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."}}