{"id":"W3215788054","doi":"10.1093/ej/ueab085","title":"Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions using Direct Evidence on Sharing","year":2021,"lang":"en","type":"article","venue":"The Economic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Economics; Poverty; Welfare; Per capita; Inequality; Identification (biology); Econometrics; Clothing; Resource allocation; Engel curve; Public economics; Microeconomics; Aggregate expenditure; Economic growth; Geography","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":[0.009574114,0.0003849627,0.0006818641,0.001228182,0.000452796,0.001319267,0.0008662315,0.0008477155,0.008328544],"category_scores_gemma":[0.02792723,0.0002111462,0.0007138998,0.00134006,0.00130974,0.001457842,0.001922533,0.0008166804,0.0005860902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009869745,"about_ca_system_score_gemma":0.0004493497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00803773,"about_ca_topic_score_gemma":0.004751329,"domain_scores_codex":[0.9982875,0.001174425,0.00005783245,0.0002215864,0.0001055291,0.0001530887],"domain_scores_gemma":[0.9708496,0.02292616,0.002459964,0.002546411,0.0007439996,0.0004738164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006654034,0.0003220184,0.5875952,0.0001421691,0.0006764107,0.0003018138,0.001565477,0.3319217,0.0003293664,0.05008887,0.002994061,0.02339748],"study_design_scores_gemma":[0.0001115665,0.0005183125,0.2190232,0.0001792619,0.000179298,0.0001570106,0.00345677,0.6656456,0.0005457977,0.1073056,0.002817537,0.00006004162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882833,0.000103723,0.007217344,0.0004668045,0.000006515773,0.00002378947,0.0005225206,0.00001503772,0.003361089],"genre_scores_gemma":[0.9984936,0.00004029806,0.0008411586,0.00002334941,0.000004994071,0.00002355556,0.0002717214,0.000004247821,0.000297055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009574114,"threshold_uncertainty_score":0.05063337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177130740868737,"score_gpt":0.318262805874903,"score_spread":0.2005497317880293,"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."}}