{"id":"W4414227917","doi":"10.4337/9781035308477.00020","title":"International students’ migration: policy impacts and implications for innovation","year":2025,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Immigration; Work (physics); Workforce; Intersection (aeronautics); Immigration policy; Public policy","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":[0.002069573,0.0003028377,0.0002434883,0.0009959831,0.002553527,0.008747534,0.0005603296,0.0018887,0.01088751],"category_scores_gemma":[0.002760674,0.0001371813,0.0004451547,0.002650646,0.003015268,0.004826155,0.004226666,0.002689963,0.001019174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004759819,"about_ca_system_score_gemma":0.00664133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006964333,"about_ca_topic_score_gemma":0.00884065,"domain_scores_codex":[0.9989343,0.000443371,0.00003881221,0.00007916792,0.0001351888,0.0003691982],"domain_scores_gemma":[0.9989241,0.0005160621,0.000114317,0.00006256568,0.0001641985,0.0002187002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003135107,0.00006589223,0.002186691,0.000277666,0.00000749563,0.0001768098,0.004882915,0.0007577401,0.0001075194,0.8462983,0.0314806,0.1137269],"study_design_scores_gemma":[0.00001419685,0.0000747319,0.00599883,0.001454274,0.00001417699,0.0001873639,0.01864036,0.0004472921,0.0002440989,0.1084377,0.8644667,0.000020462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05178031,0.05026537,0.002168469,0.1160738,0.002703024,0.00005935516,0.0001474597,0.00006472256,0.7767375],"genre_scores_gemma":[0.6711591,0.1349963,0.002227528,0.015972,0.002054487,0.0002337962,0.0002274945,0.00008130183,0.173048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01088751,"threshold_uncertainty_score":0.03642231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117565129135583,"score_gpt":0.3543844914743491,"score_spread":0.3232088401829932,"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."}}