{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001358818,0.0002143901,0.0004201679,0.0001085073,0.0003724411,0.0000581906,0.0006702068,0.0002949259,0.01002039],"category_scores_gemma":[0.0007339902,0.0001790729,0.00007350428,0.0004647458,0.00264988,0.0002212418,0.00008880797,0.0001934496,0.0001425935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161445,"about_ca_system_score_gemma":0.0005460983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544918,"about_ca_topic_score_gemma":0.005392015,"domain_scores_codex":[0.9970215,0.0002882945,0.0004353659,0.0004381911,0.001261346,0.0005553245],"domain_scores_gemma":[0.9987661,0.0004480779,0.0002998487,0.0001898527,0.00006837338,0.0002277273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003396713,0.00006573436,0.000642976,0.00003598487,0.000008440574,0.000002167126,0.0005473874,0.000009199072,1.557594e-7,0.792949,0.1939322,0.01180337],"study_design_scores_gemma":[0.0001037856,0.00006857446,0.001244328,0.00008723107,0.00002168612,2.486222e-7,0.0003503175,0.0002170567,6.647147e-7,0.03935733,0.9582532,0.0002955755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004450602,0.0004085457,0.02923191,0.0002634859,0.000794471,0.000249508,0.001487816,0.0001142707,0.9674055],"genre_scores_gemma":[0.05068718,0.009531395,0.01959093,0.0001862397,0.003748066,0.00004030351,0.0002879455,0.0001489165,0.9157791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.764321,"threshold_uncertainty_score":0.991107,"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."}}