{"id":"W7164906034","doi":"10.1080/17153379.2015.12557301","title":"Return: Nationalizing Transnational Mobility in Asia.","year":2015,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Globalization","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":[0.0009647034,0.0002780808,0.0001476456,0.0008912155,0.002417299,0.004023804,0.0006086671,0.001168701,0.01336646],"category_scores_gemma":[0.003728451,0.00007212629,0.0002812368,0.001725973,0.003329318,0.006449761,0.006438112,0.001944873,0.0005743007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869065,"about_ca_system_score_gemma":0.00706108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05429075,"about_ca_topic_score_gemma":0.07996352,"domain_scores_codex":[0.9994497,0.0002069298,0.00001474677,0.0000445934,0.00004800248,0.0002359592],"domain_scores_gemma":[0.9991904,0.0001220745,0.0001177832,0.00008323488,0.0002026347,0.0002838753],"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":[0.00009903456,0.0001174502,0.04032948,0.000258992,0.00003672462,0.0004603991,0.03481306,0.0007932188,0.0001889593,0.7685624,0.05027227,0.104068],"study_design_scores_gemma":[0.00003576633,0.0001119786,0.1120372,0.001535345,0.00008970979,0.0003864043,0.3078336,0.001244753,0.000592995,0.2231104,0.3529767,0.00004526422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2793854,0.009588455,0.004034398,0.2098583,0.00157842,0.00007491805,0.0008277577,0.0001046519,0.4945477],"genre_scores_gemma":[0.9660084,0.006008258,0.0007673631,0.005270781,0.0002679037,0.00005371782,0.0002550674,0.00002422926,0.02134426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05429075,"threshold_uncertainty_score":0.1079495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237323334884099,"score_gpt":0.3028164804776304,"score_spread":0.2604432471287894,"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."}}