{"id":"W4255632453","doi":"10.18356/1c8bdd92-en","title":"A League Table of Educational Disadvantage in Rich Nations","year":2003,"lang":"en","type":"book","venue":"Innocenti report card","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League table; Disadvantage; Ranking (information retrieval); League; Table (database); Political science; Student achievement; Developing country; Developed country; Mathematics education; Economic growth; Geography; Academic achievement; Psychology; Economics; Sociology; Computer science; Demography; Database; Law","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":[0.0007283621,0.0005746336,0.0003812685,0.005457848,0.0009590157,0.001673391,0.000597472,0.0005533055,0.04309558],"category_scores_gemma":[0.001654004,0.0001728192,0.0002738527,0.006162955,0.0001994121,0.00169603,0.001049968,0.0008482824,0.008132259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009969691,"about_ca_system_score_gemma":0.001893648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04066005,"about_ca_topic_score_gemma":0.04801666,"domain_scores_codex":[0.9996965,0.00003519496,0.00003236621,0.00003206571,0.0001397229,0.00006419582],"domain_scores_gemma":[0.9991236,0.0001390528,0.0001005356,0.00006453533,0.0004033135,0.0001689803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002435152,0.00002980167,0.003345872,0.0001344135,0.000006591833,0.00003324949,0.0001758227,0.00007281886,0.00004143878,0.009022346,0.9203079,0.06680519],"study_design_scores_gemma":[0.00001189263,0.00003498829,0.03738841,0.0005482812,0.00001164131,0.0001886986,0.0004693253,0.0001205116,0.00008077521,0.002353431,0.9587805,0.00001163969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01462368,0.0581529,0.001337995,0.01990202,0.008814264,0.0002841073,0.1150966,0.0008350598,0.7809535],"genre_scores_gemma":[0.1012664,0.05925725,0.004323207,0.00552261,0.003503959,0.0007668167,0.126818,0.0004202765,0.6981214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04309558,"threshold_uncertainty_score":0.1441691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947213160413885,"score_gpt":0.3752108971525333,"score_spread":0.3457387655483944,"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."}}