{"id":"W4280522870","doi":"10.5539/ass.v18n5p8","title":"Filial Nationalism: How the Trump Administration Impacted Chinese International Students","year":2022,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nationalism; China; Administration (probate law); State (computer science); Political science; Coronavirus disease 2019 (COVID-19); Sociology; Development economics; Law; Medicine; Economics; Politics","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":[0.003162729,0.0003466903,0.0003983161,0.001143758,0.01669517,0.007924945,0.001141073,0.001413313,0.004026541],"category_scores_gemma":[0.004938705,0.0002812393,0.0004083085,0.001834182,0.007275368,0.00413345,0.007091959,0.005127116,0.0003347585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008127769,"about_ca_system_score_gemma":0.009976205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1389231,"about_ca_topic_score_gemma":0.1904843,"domain_scores_codex":[0.9979436,0.0006090362,0.00005235758,0.000130787,0.0002915913,0.000972686],"domain_scores_gemma":[0.9972632,0.0004360238,0.0004584068,0.00009830742,0.0004114615,0.001332601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004081094,0.0002507806,0.1501241,0.00004183385,0.00001802521,0.0004600752,0.8263403,0.00003799147,0.0002542801,0.005514177,0.00488991,0.01202765],"study_design_scores_gemma":[0.000003676661,0.00005597415,0.08592042,0.00007075498,0.00001138313,0.00005509758,0.9043844,0.0001046777,0.0001233429,0.0003727727,0.008870002,0.0000274149],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891645,0.0002035233,0.00002598285,0.004329649,0.00006629798,0.0000109554,0.00002110858,0.00000302068,0.006175021],"genre_scores_gemma":[0.9967625,0.000278479,0.0000178034,0.0008004793,0.00002544449,0.00001333873,0.00002271168,0.000004146184,0.002074975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389231,"threshold_uncertainty_score":0.2762288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262827202714369,"score_gpt":0.375938966414895,"score_spread":0.3496562461434581,"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."}}