{"id":"W7099806425","doi":"","title":"the Study of Living","year":2012,"lang":"en","type":"article","venue":"","topic":"Central European and Russian historical studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Inequality; Economic inequality; Redistribution (election); Income distribution; Income inequality metrics; Distribution (mathematics); Lorenz curve","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":[0.0003967423,0.00001751971,0.00003187608,0.000003563273,0.0005595017,0.000006685671,0.0000757111,0.000004803192,0.0001068982],"category_scores_gemma":[0.0003110756,0.000008810575,0.00001371905,0.00006993177,0.0000693951,0.00003112741,0.00002911853,0.00002030514,0.0000296555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272586,"about_ca_system_score_gemma":0.000004339654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006558,"about_ca_topic_score_gemma":0.0007793209,"domain_scores_codex":[0.9995748,0.00009547532,0.00005473118,0.00002423594,0.0001177485,0.000133046],"domain_scores_gemma":[0.9996192,0.0002745423,0.00001676735,0.00004066117,0.00000994227,0.00003882253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004375348,0.0008593802,0.4172341,0.000001712622,0.00003574154,3.325744e-7,0.2013628,2.194978e-7,0.000008078171,0.2871147,0.05898181,0.03439677],"study_design_scores_gemma":[0.00001527103,0.00002323205,0.260304,0.00000202336,0.000003943749,1.465703e-8,0.05681798,1.549931e-7,6.582968e-7,0.000005050236,0.6828033,0.00002440774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1511523,0.001126894,0.000005915744,0.0002493323,0.000454746,0.00009376674,4.552478e-8,0.0000208964,0.8468961],"genre_scores_gemma":[0.9894065,0.0002983646,0.00000590316,0.00001357309,0.0001431705,7.025507e-7,2.041648e-9,0.000001199125,0.01013059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8382542,"threshold_uncertainty_score":0.4303291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679815201206102,"score_gpt":0.299535337418682,"score_spread":0.2627371854066211,"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."}}