{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162834,0.001085399,0.001191509,0.001525042,0.00143087,0.005399331,0.001791446,0.004306146,0.04085478],"category_scores_gemma":[0.007571653,0.0004892831,0.001804921,0.001585945,0.003574488,0.006516513,0.002254127,0.002974367,0.008600947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003244421,"about_ca_system_score_gemma":0.001457402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00645914,"about_ca_topic_score_gemma":0.002495227,"domain_scores_codex":[0.9988357,0.0003483028,0.00005349273,0.0002779726,0.0002075803,0.0002769824],"domain_scores_gemma":[0.9979351,0.0008852286,0.0002128207,0.0003586238,0.0004194413,0.0001888478],"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":[0.00001740582,0.00001978095,0.000736782,0.00006349456,0.00001504638,0.00008850997,0.0001927087,0.01028658,0.0001521872,0.9654825,0.008783915,0.01416113],"study_design_scores_gemma":[0.00001442776,0.00002642472,0.0009998768,0.00008414841,0.00001186442,0.000160815,0.0001737844,0.01846847,0.00006857031,0.9415051,0.03845842,0.00002806043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06187387,0.009645056,0.2468076,0.02492143,0.0008377456,0.0002377684,0.004054654,0.0005946712,0.6510271],"genre_scores_gemma":[0.7050436,0.01183997,0.02363286,0.001508723,0.0007533678,0.00056784,0.001935328,0.0003065523,0.2544118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04085478,"threshold_uncertainty_score":0.1366729,"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."}}