{"id":"W3123789538","doi":"","title":"Poverty Measurement with Ordinal Data","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ordinal data; Axiom; Poverty; Econometrics; Ordinal Scale; Ordinal optimization; Class (philosophy); Dimension (graph theory); Core (optical fiber); Ordinal regression; Mathematics; Economics; Statistics; Computer science; Artificial intelligence; Economic growth","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":[0.01175305,0.0007445191,0.0009263795,0.005136253,0.001355782,0.004227557,0.001284586,0.0009414052,0.004257044],"category_scores_gemma":[0.08299749,0.000341546,0.001012097,0.009541443,0.002514471,0.007072506,0.004712101,0.002684499,0.0006584075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502704,"about_ca_system_score_gemma":0.001130994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904754,"about_ca_topic_score_gemma":0.00125156,"domain_scores_codex":[0.9835778,0.01072597,0.0009690386,0.001185753,0.00310762,0.0004336496],"domain_scores_gemma":[0.966302,0.01931234,0.004203675,0.005862902,0.003690786,0.0006283209],"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":[0.00009350589,0.00009801867,0.01571327,0.0004618487,0.0001511594,0.000106214,0.00117683,0.01206424,0.0004765601,0.7791817,0.008524431,0.1819522],"study_design_scores_gemma":[0.00002294966,0.0001357306,0.01290474,0.0003397378,0.00004010669,0.0002203063,0.001265905,0.04795267,0.0008138135,0.9012646,0.03496484,0.00007451493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04477288,0.00178191,0.9248753,0.002362604,0.0003626379,0.0003055258,0.004260583,0.0003219308,0.02095664],"genre_scores_gemma":[0.5888225,0.001978183,0.4013501,0.0004262847,0.0004126777,0.001339513,0.00306159,0.000100232,0.002508961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01175305,"threshold_uncertainty_score":0.0621568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047385226227518,"score_gpt":0.3820648498215978,"score_spread":0.177326327198846,"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."}}