{"id":"W1505191810","doi":"10.1002/0471667196.ess6032.pub2","title":"Income Distribution Models","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Remainder; Outcome (game theory); Pareto principle; Analogy; Econometrics; Transformation (genetics); Distribution (mathematics); Computer science; Set (abstract data type); Socioeconomic status; Economic model; Mathematical economics; Probability distribution; Mathematics; Statistics; Economics; Population; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003447421,0.0008911742,0.00082069,0.002605074,0.001081303,0.003565183,0.002990321,0.001987476,0.01849449],"category_scores_gemma":[0.01091807,0.0002982174,0.001419098,0.002717906,0.002886766,0.004442939,0.002341415,0.002443236,0.003458624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003113346,"about_ca_system_score_gemma":0.001152308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003761813,"about_ca_topic_score_gemma":0.001963933,"domain_scores_codex":[0.9975427,0.001028212,0.0001031789,0.0003660813,0.0006430686,0.0003166259],"domain_scores_gemma":[0.9955584,0.002320223,0.0005393461,0.0005204731,0.0007945268,0.0002668814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005580676,0.00001543396,0.0005419329,0.00001194183,0.000007291628,0.00004214474,0.00007586987,0.009657536,0.00002749141,0.9837394,0.002025468,0.003849827],"study_design_scores_gemma":[0.00001151954,0.00001390678,0.0003786677,0.00002808875,0.000007551389,0.0001178335,0.00008620631,0.09128908,0.00007112085,0.8967674,0.01121646,0.00001220908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04081355,0.00125331,0.8030865,0.007353962,0.0003357294,0.0002591013,0.001971226,0.0004710444,0.1444557],"genre_scores_gemma":[0.8589215,0.001620349,0.06258859,0.0008300534,0.0004927009,0.0005727125,0.001378886,0.0001759096,0.07341921],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01849449,"threshold_uncertainty_score":0.06187022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686216366919645,"score_gpt":0.3322125152367192,"score_spread":0.3053503515675227,"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."}}