{"id":"W2986936776","doi":"10.1093/geroni/igz038.013","title":"AN INTERNATIONAL COMPARISON OF INCOME DISPARITIES BY PROBLEM-SOLVING SKILLS, GENDER, AND AGE","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Percentile; Demography; Demographic economics; Northern ireland; Geography; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247158,0.00005580574,0.0001099581,0.000173474,0.0001254287,0.00006202254,0.0001126447,0.00003271449,0.00007352432],"category_scores_gemma":[0.0001065792,0.00005829032,0.000009183094,0.0003291748,0.00008324123,0.0004360719,0.00002966618,0.00007579625,0.000002833489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007008454,"about_ca_system_score_gemma":0.00004649555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144505,"about_ca_topic_score_gemma":0.0003476665,"domain_scores_codex":[0.9990668,0.00006112545,0.000380037,0.0001280311,0.0002555929,0.0001083582],"domain_scores_gemma":[0.9994633,0.00008762507,0.000137728,0.00005298607,0.0002446135,0.00001381346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002071843,0.00007227217,0.647181,0.00001665959,0.000008457184,6.923177e-8,0.02171645,0.00007442727,0.00131264,0.328923,0.0003479539,0.0003450333],"study_design_scores_gemma":[0.0003882004,0.00003573127,0.9126343,0.0001355235,0.000004325227,4.28033e-7,0.03814823,0.001056175,0.001271169,0.03466161,0.01138556,0.0002787723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863368,0.00006940451,0.0003107903,0.001317535,0.0004417056,0.0001038257,0.000009853446,0.00001515656,0.01139488],"genre_scores_gemma":[0.9978458,0.0000233296,0.001134319,0.0002089362,0.0001133226,0.00001066554,0.00008034561,0.000003907845,0.0005793665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2942614,"threshold_uncertainty_score":0.237701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154490637244643,"score_gpt":0.3911494496675245,"score_spread":0.3396045432950781,"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."}}