{"id":"W2257655648","doi":"10.1080/07294360.2015.1137877","title":"Evaluating admission criteria effects for under-represented groups","year":2016,"lang":"en","type":"article","venue":"Higher Education Research & Development","topic":"School Choice and Performance","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Representation (politics); Actuarial science; Psychology; Medical education; Medicine; Business; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00380494,0.0001004406,0.0001056164,0.0002058985,0.001207825,0.0001437685,0.0003336817,0.00009265553,0.00211712],"category_scores_gemma":[0.001085766,0.00007295171,0.00003349889,0.0004497453,0.0001155373,0.0003421619,0.00007631061,0.0001173417,0.0003787958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005909876,"about_ca_system_score_gemma":0.003416808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087194,"about_ca_topic_score_gemma":0.0001219796,"domain_scores_codex":[0.9972128,0.0005448699,0.0002321499,0.0003500469,0.001069717,0.0005904346],"domain_scores_gemma":[0.9974104,0.001166032,0.00005918648,0.0002302018,0.0008181754,0.0003159872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002465689,0.0006436443,0.02319173,0.00027542,0.0000646482,9.115809e-7,0.01399633,0.000001872401,0.04484365,0.03648116,0.4228993,0.4573548],"study_design_scores_gemma":[0.0005355932,0.00007737675,0.1860833,0.0003438753,0.000004300989,2.154423e-7,0.0009760198,0.000005158564,0.007980567,0.008004981,0.7958068,0.0001818492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390622,0.0004343466,0.0006391726,0.04417201,0.002757064,0.001599979,0.000001884443,0.0001120486,0.01122128],"genre_scores_gemma":[0.8966984,0.000117002,0.007968777,0.0004309329,0.001587774,0.001332709,0.00001650933,0.0000204014,0.09182751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4571729,"threshold_uncertainty_score":0.9987951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814713591114622,"score_gpt":0.5354457995102974,"score_spread":0.3539744403988351,"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."}}