{"id":"W4386699490","doi":"10.32920/24134934.v1","title":"An Engel Curve for Variety","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Variety (cybernetics); Welfare; Consumption (sociology); Diversity (politics); Economics; Engel curve; Agricultural economics; Econometrics; Mathematics; Statistics; Sociology; Price index","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001431175,0.0001258135,0.0002081983,0.0000471532,0.0005601537,0.0002156626,0.0005155288,0.0004191177,0.0007466379],"category_scores_gemma":[0.0002110203,0.0001339561,0.0001316351,0.0000655008,0.0001076249,0.00009720548,0.0001698051,0.0001813404,0.0003307966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999068,"about_ca_system_score_gemma":0.0007254524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008895701,"about_ca_topic_score_gemma":0.0086387,"domain_scores_codex":[0.9988423,0.00006741231,0.000218891,0.0003837608,0.0001336534,0.0003539825],"domain_scores_gemma":[0.9992363,0.0002602769,0.00009845333,0.0001958468,0.0000774837,0.0001315984],"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":[0.00002540823,0.0001583535,0.03293569,0.000143566,0.0003021504,0.000002681587,0.1833711,0.0001228764,0.000003390425,0.47454,0.2817773,0.02661748],"study_design_scores_gemma":[0.0001713115,0.00001755474,0.01096457,0.00002283963,0.00002335093,3.634434e-8,0.01741971,0.0001794855,0.00001186191,0.4620795,0.5085739,0.0005359104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1258622,0.0000789093,0.01327173,0.01464572,0.0465248,0.004505938,0.0005628215,0.003321436,0.7912264],"genre_scores_gemma":[0.6453122,0.001123878,0.03769021,0.002254992,0.01204874,0.002261026,0.001162104,0.0001785408,0.2979684],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.51945,"threshold_uncertainty_score":0.9977041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538181558557452,"score_gpt":0.3943006506040542,"score_spread":0.240482494748309,"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."}}