{"id":"W3205465790","doi":"","title":"Rankings and the Identification of Inequities within the Brazilian Federal University System","year":2021,"lang":"en","type":"article","venue":"Higher Education Politics & Economics","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Unintended consequences; Criticism; Ranking (information retrieval); Identification (biology); Quality (philosophy); Higher education; Political science; Public relations; Business; Economic growth; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00611408,0.0001937208,0.0003768954,0.003973038,0.00250962,0.002899858,0.0005405716,0.0004722258,0.002494278],"category_scores_gemma":[0.01697967,0.0001310384,0.000273183,0.006272631,0.003206992,0.002026443,0.002981375,0.0006648385,0.00006909244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00674238,"about_ca_system_score_gemma":0.004560348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105262,"about_ca_topic_score_gemma":0.1314565,"domain_scores_codex":[0.9945262,0.002747371,0.0001897694,0.0004895499,0.0009352737,0.00111179],"domain_scores_gemma":[0.9921259,0.003530137,0.002079089,0.000549866,0.001115846,0.0005991312],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008060222,0.00008599943,0.672007,0.0001991939,0.00009007817,0.0001807327,0.01484653,0.002216239,0.0003643917,0.2486089,0.001526197,0.05979419],"study_design_scores_gemma":[0.0000087859,0.00008169152,0.8787188,0.0003649745,0.00006457945,0.0001115097,0.03602621,0.007184355,0.000378232,0.06172967,0.01529721,0.00003402656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491598,0.001498871,0.0038907,0.004732978,0.0000191153,0.00003081291,0.0003600055,0.00001565454,0.04029214],"genre_scores_gemma":[0.9994829,0.00008429484,0.0001802194,0.00003178414,0.000003590468,0.000004015396,0.00002478978,0.000001484012,0.0001869043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938859,"threshold_uncertainty_score":0.2197656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709547092123915,"score_gpt":0.278650519968515,"score_spread":0.2615550490472758,"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."}}