{"id":"W7097016086","doi":"","title":"The Impact of the Socioeconomic Gap on Education Performance","year":2013,"lang":"en","type":"article","venue":"","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Government (linguistics); Education policy; Democracy; Public policy; Higher education; Comparative education","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":[0.001725834,0.0002031975,0.0002681628,0.001207705,0.001570186,0.001834531,0.0003906443,0.0002525645,0.004389708],"category_scores_gemma":[0.005997302,0.00005546026,0.0002325974,0.001876609,0.001597791,0.0009222145,0.002613704,0.0008129567,0.0003528795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665015,"about_ca_system_score_gemma":0.004149289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1887939,"about_ca_topic_score_gemma":0.307689,"domain_scores_codex":[0.9975798,0.0005765693,0.00007870114,0.0001332177,0.0006028149,0.001028895],"domain_scores_gemma":[0.9962682,0.0006776438,0.0006878174,0.0001716559,0.00106636,0.001128386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212906,0.0001448971,0.9406338,0.00003643275,0.00009130872,0.000317244,0.002218415,0.0006881481,0.0002254445,0.01884544,0.001507882,0.03516973],"study_design_scores_gemma":[0.000002546133,0.00006976523,0.9889652,0.00004735504,0.0000171978,0.00005293159,0.005226433,0.0002192195,0.0002377955,0.001752565,0.003400337,0.000008714374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507341,0.0003953548,0.0002496358,0.002884981,0.00004391537,0.000008353148,0.0005938464,0.000008459506,0.04508146],"genre_scores_gemma":[0.9991309,0.00008408976,0.00003249877,0.00004582409,0.000008428393,0.000001274147,0.0000860953,0.000001554989,0.0006093109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1887939,"threshold_uncertainty_score":0.3753899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161609748587226,"score_gpt":0.3332351147056442,"score_spread":0.3116190172197719,"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."}}