{"id":"W3163387597","doi":"10.30525/2500-946x/2020-1-1","title":"COMPETITIVENESS OF HIGHER EDUCATION SYSTEM: INTERNATIONAL DIMENSION","year":2020,"lang":"en","type":"article","venue":"Economics & Education","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Higher education; Globalization; Context (archaeology); Revealed comparative advantage; Dynamism; Ranking (information retrieval); Competition (biology); Regional science; Position (finance); China; Comparative education; Digitization; International education; Political science; Marketing; Business; Economic growth; Economics; International trade; Sociology; Geography; Finance; Engineering","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":[0.001614968,0.0003538298,0.0003323279,0.00579987,0.001171694,0.009952883,0.0002934478,0.0005627901,0.01008725],"category_scores_gemma":[0.002332345,0.00007654156,0.0002764411,0.009558659,0.001775054,0.00332766,0.001314515,0.0006325195,0.0005486343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017159,"about_ca_system_score_gemma":0.002829917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391263,"about_ca_topic_score_gemma":0.002985181,"domain_scores_codex":[0.9975826,0.0006066118,0.00009713355,0.0002558413,0.001054862,0.0004030157],"domain_scores_gemma":[0.9983612,0.0004510234,0.0002741923,0.00007052202,0.0006064026,0.0002367272],"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":[0.00008453604,0.0001319759,0.100023,0.0008530167,0.0001611491,0.0003496903,0.005567688,0.002053981,0.001540316,0.6131856,0.01939368,0.2566555],"study_design_scores_gemma":[0.00002010574,0.0002866111,0.3819107,0.0007883365,0.0001660452,0.0007637432,0.02773085,0.002990925,0.001785399,0.1046236,0.4788397,0.00009396599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2157887,0.01759809,0.007965764,0.009023837,0.0006203835,0.0000964662,0.00103058,0.0001238484,0.7477522],"genre_scores_gemma":[0.9850914,0.00341915,0.001554253,0.0003710837,0.0002932081,0.00003129441,0.0003684021,0.0000282708,0.008842942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01008725,"threshold_uncertainty_score":0.03374523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679041058120957,"score_gpt":0.2946265708456736,"score_spread":0.2778361602644641,"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."}}