{"id":"W4247784205","doi":"10.32920/ryerson.14652903","title":"International Students as Immigrants : Transition challenges and strengths of current and former students","year":2021,"lang":"en","type":"preprint","venue":"","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Government (linguistics); Transition (genetics); Political science; Face (sociological concept); Public relations; Population; Psychology; Pedagogy; Economic growth; Medical education; Sociology; Medicine; Social science; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058965,0.0002413733,0.0003715381,0.0001607997,0.0001492483,0.0002503286,0.0006557896,0.0002273487,0.0003184584],"category_scores_gemma":[0.00009294139,0.0002360791,0.0001168059,0.00003762645,0.0001651286,0.0002230404,0.000797525,0.0003074112,0.000004193155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000925846,"about_ca_system_score_gemma":0.00007818361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937273,"about_ca_topic_score_gemma":0.004592072,"domain_scores_codex":[0.9968896,0.0001498045,0.0004019183,0.0005104464,0.001823553,0.0002246769],"domain_scores_gemma":[0.9990365,0.0001290787,0.0002157691,0.0001312893,0.0003695443,0.0001178174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001586439,0.001971171,0.01517054,0.0005150092,0.001566362,0.00002019408,0.790454,0.000005509049,0.00007677677,0.01192427,0.00009100724,0.1780466],"study_design_scores_gemma":[0.003854193,0.0002475684,0.1739421,0.002473975,0.0004200216,0.000005067053,0.7970626,0.00005270376,0.0004944471,0.00805956,0.01211123,0.001276537],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695675,0.01524507,0.00001584242,0.001854709,0.001365301,0.0004040351,0.00003234017,0.00003142961,0.01148377],"genre_scores_gemma":[0.7639464,0.2353793,0.00004074178,0.0000252802,0.0002860159,0.00002042694,0.0000542851,0.00001086371,0.0002366605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2201343,"threshold_uncertainty_score":0.9627026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04960919062349591,"score_gpt":0.4089536442139003,"score_spread":0.3593444535904045,"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."}}