{"id":"W2045856625","doi":"10.1016/s0165-1765(01)00461-x","title":"Income distribution and aggregation/disaggregation biases in the measurement of consumer demand elasticities","year":2001,"lang":"en","type":"article","venue":"Economics Letters","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Econometrics; Distribution (mathematics); Income distribution; Aggregate (composite); Range (aeronautics); Mathematics; Inequality","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":[],"consensus_categories":[],"category_scores_codex":[0.001387691,0.0000609228,0.0001055607,0.00003778901,0.0001740281,0.0000498824,0.00009521867,0.00003524215,0.00001794794],"category_scores_gemma":[0.0002881727,0.00005219656,0.00002605836,0.00007412401,0.0002638297,0.0002159662,0.00001201593,0.00005170746,0.000003332695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804281,"about_ca_system_score_gemma":0.00004428682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702271,"about_ca_topic_score_gemma":0.004948369,"domain_scores_codex":[0.9992353,0.0001597587,0.000235713,0.0001037314,0.0001191168,0.0001463305],"domain_scores_gemma":[0.9994904,0.0002316117,0.0001290196,0.00008669018,0.00003722971,0.00002501599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009222483,0.00009903665,0.9106054,0.00003981806,0.00004692674,0.000002624914,0.0244897,0.001617322,0.0002178118,0.05576981,0.001483345,0.005535987],"study_design_scores_gemma":[0.001552215,0.00007306851,0.9364777,0.0002110186,0.00005282072,0.000004296084,0.01258639,0.002147147,0.0009148679,0.01025547,0.03524536,0.0004796916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995107,0.0001084055,0.0003874839,0.003135956,0.000144015,0.0001480515,0.00001995162,0.00000725713,0.0009418677],"genre_scores_gemma":[0.9987493,0.0005255803,0.00001864226,0.0005910869,0.00008427026,0.000008810192,0.00001328819,0.000002735135,0.000006263896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04551434,"threshold_uncertainty_score":0.2761306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535998125448488,"score_gpt":0.2699111228686263,"score_spread":0.2245511416141414,"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."}}