{"id":"W2076272752","doi":"10.1016/s0264-9993(03)00037-3","title":"Simultaneous estimation of an implicit directly additive demand system and the distribution of expenditure—an application of maximum entropy","year":2003,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Purdue Research Foundation","keywords":"Unobservable; Econometrics; Economics; Aggregate (composite); Aggregate expenditure; Aggregate demand; Consumption (sociology); Estimation; Entropy (arrow of time); Distribution (mathematics); Aggregate behavior; Consumer demand; Microeconomics; Mathematics; Macroeconomics","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":[0.0007465784,0.0001451617,0.0005361392,0.0000672067,0.00006804794,0.00002267115,0.0001561334,0.0001063903,0.00001137908],"category_scores_gemma":[0.00002695589,0.0001336626,0.00008921485,0.00003921722,0.00009832651,0.0003072149,0.0000189874,0.00007123795,0.000007659623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009740298,"about_ca_system_score_gemma":0.0000144895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002741702,"about_ca_topic_score_gemma":0.00002020222,"domain_scores_codex":[0.9985636,0.00004372513,0.000895091,0.0003317776,0.00001992427,0.0001458614],"domain_scores_gemma":[0.9983821,0.0001970775,0.001017501,0.0003126443,0.00003440508,0.00005625051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009542943,0.00004306939,0.0001700544,0.00005592623,0.00005603698,1.19139e-7,0.0003624487,0.4667488,0.00005988195,0.5315816,0.000005416019,0.0008212478],"study_design_scores_gemma":[0.0008439511,0.00008345678,0.0001460855,0.00001776224,0.0000254102,0.000006346704,0.0002609101,0.9543646,0.002832472,0.04104685,0.0002251127,0.0001470506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7713009,0.0005671172,0.225209,0.00001464715,0.00008558715,0.0003764273,0.0005005905,0.00001211862,0.001933678],"genre_scores_gemma":[0.997694,0.0001848446,0.00179309,0.000005385088,0.00003942093,0.00003238358,0.0002285752,0.00001336817,0.000008982142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905347,"threshold_uncertainty_score":0.5450602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008391464865091191,"score_gpt":0.1930732011336266,"score_spread":0.1846817362685354,"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."}}