{"id":"W3122708129","doi":"10.2139/ssrn.650242","title":"Consumption Inequality and Intra-Household Allocations","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inequality; Consumption (sociology); Economics; Demographic economics; Mathematics; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007518328,0.0001609677,0.0003174525,0.0008400364,0.0008414949,0.001682872,0.0002954832,0.0005669438,0.016014],"category_scores_gemma":[0.003616379,0.0001590129,0.0001706639,0.001575139,0.001119788,0.001452651,0.0012988,0.0005324865,0.0005193573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207734,"about_ca_system_score_gemma":0.0004190736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047135,"about_ca_topic_score_gemma":0.01732671,"domain_scores_codex":[0.9995295,0.0001753275,0.00001334039,0.00005379241,0.00003312888,0.000194954],"domain_scores_gemma":[0.9982577,0.0009499394,0.000304136,0.0001340528,0.0001246074,0.0002295829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001522354,0.0004625006,0.66711,0.00007796114,0.0002073157,0.0004936823,0.006307618,0.008159906,0.00119441,0.2648156,0.00198704,0.04766163],"study_design_scores_gemma":[0.00005153588,0.0001486245,0.8031163,0.00007538522,0.00006710555,0.0001771554,0.01265909,0.007872127,0.0004246556,0.1687454,0.006636817,0.00002578312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788935,0.0003444279,0.001058078,0.0007531182,0.000006622888,0.000007417226,0.000243332,0.000004592181,0.01868895],"genre_scores_gemma":[0.9976124,0.00008703925,0.00007282737,0.00001581064,0.000006243096,0.000005444448,0.0000520782,0.000002039242,0.002146175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016014,"threshold_uncertainty_score":0.05357218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931683654094527,"score_gpt":0.2918543799344815,"score_spread":0.2625375433935363,"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."}}