{"id":"W2949392387","doi":"10.2478/jdis-2019-0009","title":"Does a Country/Region’s Economic Status Affect Its Universities’ Presence in International Rankings?","year":2019,"lang":"en","type":"article","venue":"Journal of Data and Information Science","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ranking (information retrieval); Affect (linguistics); Higher education; Welfare; Regional science; Contrast (vision); Graduate education; Economics; Geography; Political science; Econometrics; Sociology; Economic growth; Computer science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002337715,0.0002238545,0.0004712981,0.001760529,0.0006016177,0.002775451,0.0003863906,0.0003273208,0.004505667],"category_scores_gemma":[0.009634994,0.0001073815,0.0005787464,0.004416967,0.0006985026,0.000927933,0.001154604,0.0005412512,0.0008408373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008951525,"about_ca_system_score_gemma":0.0009305993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849674,"about_ca_topic_score_gemma":0.02060128,"domain_scores_codex":[0.9981184,0.0007340193,0.0001182611,0.0002658021,0.0002875127,0.0004761024],"domain_scores_gemma":[0.9884469,0.002788248,0.005081578,0.0005410872,0.001671121,0.001470992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001079785,0.00003684383,0.9895219,0.00005657218,0.0002163498,0.0001099829,0.0005185606,0.0008398662,0.0001489786,0.0005948386,0.0007103125,0.007137919],"study_design_scores_gemma":[0.000002072283,0.00004103353,0.9960843,0.00002004997,0.00004634188,0.00003211983,0.00229339,0.0004031183,0.00007871622,0.0001206072,0.0008680091,0.00001018745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916603,0.0004729691,0.0004434541,0.0003495787,0.00002462268,0.000009061495,0.000905838,0.000009650437,0.006124556],"genre_scores_gemma":[0.9992833,0.00006729194,0.0000677967,0.00001679418,0.000009407761,0.000003015744,0.0002222161,0.000003177972,0.0003270108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982395,"threshold_uncertainty_score":0.03677809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627562307739324,"score_gpt":0.3207830352551958,"score_spread":0.3045074121778026,"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."}}