{"id":"W4226208805","doi":"10.1504/ijepee.2022.121342","title":"Flight for greener pastures: a look into international migration of Indian students","year":2022,"lang":"en","type":"article","venue":"International Journal of Economic Policy in Emerging Economies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Entertainment; Competition (biology); Scope (computer science); Economic growth; Immigration; Development economics; Higher education; Political science; Socioeconomics; Geography; Economics","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":[0.0003226342,0.0001638102,0.0001349542,0.0009684478,0.002766385,0.001834446,0.0003651381,0.0004984121,0.003073518],"category_scores_gemma":[0.0004635365,0.00008528109,0.0002289014,0.001935588,0.0008490191,0.001250161,0.0009278565,0.000926968,0.0002373296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009628081,"about_ca_system_score_gemma":0.001364881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03333808,"about_ca_topic_score_gemma":0.06714997,"domain_scores_codex":[0.9998043,0.0000603583,0.000008806087,0.00001381397,0.00001995151,0.00009283044],"domain_scores_gemma":[0.9997155,0.00003699684,0.0000713741,0.000008678072,0.0000538017,0.0001137194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002151483,0.000496621,0.4315609,0.0006126193,0.00003939747,0.003413809,0.4261756,0.0001351364,0.001375141,0.01124362,0.01088329,0.1138487],"study_design_scores_gemma":[0.000002137206,0.0001039702,0.3521201,0.000143207,0.00001346937,0.0004133373,0.6246548,0.00005518249,0.00007461885,0.0003143626,0.02208991,0.00001499323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801569,0.002137018,0.00006057235,0.003969571,0.00008734787,0.00001328022,0.00007985735,0.000003824382,0.01349158],"genre_scores_gemma":[0.9910201,0.00441125,0.00008058456,0.0006345589,0.00003754871,0.000006923863,0.00006300796,0.000003852303,0.0037422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03333808,"threshold_uncertainty_score":0.06628805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418584849403024,"score_gpt":0.3634752193566061,"score_spread":0.3492893708625758,"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."}}