{"id":"W4379383337","doi":"10.2139/ssrn.4438932","title":"Ranking countries based on their presence in QS top 100","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranking (information retrieval); Context (archaeology); Geography; Library science; Data science; Political science; Regional science; Computer science; Statistics; Information retrieval; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001710709,0.0006577502,0.0007426019,0.01591546,0.0007158728,0.00309543,0.0004580579,0.0003771556,0.02061743],"category_scores_gemma":[0.0154044,0.0002063168,0.001018092,0.01288478,0.0006070857,0.001109996,0.001234207,0.0006956387,0.006329129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101522,"about_ca_system_score_gemma":0.001107329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335839,"about_ca_topic_score_gemma":0.01414318,"domain_scores_codex":[0.9975179,0.0006919848,0.0003109344,0.0002217888,0.0007997096,0.0004576365],"domain_scores_gemma":[0.99076,0.003750204,0.001349154,0.0006076065,0.002599281,0.0009337367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008589873,0.0002409997,0.7611107,0.001347422,0.00114395,0.0004783668,0.001092777,0.01049832,0.003702384,0.01818285,0.0707064,0.1306368],"study_design_scores_gemma":[0.0002000856,0.0005156381,0.8920103,0.0004135042,0.0005634645,0.0007847829,0.005435796,0.01483491,0.004132746,0.00983634,0.07116999,0.0001025145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484036,0.003315117,0.01075485,0.001383865,0.0003322111,0.000152969,0.06115352,0.0006232425,0.07388059],"genre_scores_gemma":[0.9579214,0.001377515,0.005617013,0.0001165952,0.00009024938,0.00006842508,0.02947822,0.00008797071,0.005242564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9840845,"threshold_uncertainty_score":0.06897217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332454020443894,"score_gpt":0.3177657057687559,"score_spread":0.2845203037243665,"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."}}