{"id":"W7146334653","doi":"","title":"What influences the direction and magnitude of Asian student mobility? Macro data analysis based on life planning model","year":2022,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macro; Destinations; Constraint (computer-aided design); Population; Macro level; Budget constraint; Survey data collection; East Asia","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001523268,0.0001292875,0.0001910545,0.0001433969,0.002392782,0.0003122302,0.0006471193,0.00003402747,0.00006294106],"category_scores_gemma":[0.0009356042,0.00009840883,0.00006536173,0.0007516188,0.0006510078,0.001596993,0.0004204666,0.0001923284,9.227554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002646864,"about_ca_system_score_gemma":0.001304445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006830145,"about_ca_topic_score_gemma":0.0008335052,"domain_scores_codex":[0.9973137,0.0002321708,0.0003824273,0.0004045797,0.001465072,0.0002020679],"domain_scores_gemma":[0.9985631,0.0002808537,0.0002079258,0.0006120428,0.0002142152,0.0001219076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003668469,0.001062484,0.113226,0.00008134288,0.0006709938,0.0000191222,0.02101322,0.5060906,0.0002238415,0.3532626,0.002907004,0.001075879],"study_design_scores_gemma":[0.0009802083,0.0003707025,0.3691593,0.0003041988,0.001167723,0.0000146884,0.246805,0.09588481,0.0002077375,0.004002076,0.2800958,0.001007841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801631,0.001127702,0.0008911266,0.004840801,0.002472175,0.0004279937,0.002143562,0.00005766989,0.007875856],"genre_scores_gemma":[0.997488,0.00008840203,0.0004998203,0.0005023758,0.0003023253,0.0000830787,0.0008314217,0.000004293636,0.0002003212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4102058,"threshold_uncertainty_score":0.9997835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0661075027629589,"score_gpt":0.3821629237137656,"score_spread":0.3160554209508067,"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."}}