{"id":"W2793213767","doi":"10.1093/jae/ejy001","title":"Child Monetary Poverty and Multidimensional Deprivations: Why They Differ","year":2018,"lang":"en","type":"article","venue":"Journal of African Economies","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université Laval","funders":"Department for International Development","keywords":"Tanzania; Poverty; Economics; Consumption (sociology); Investment (military); Parental investment; Demographic economics; Economic growth; Socioeconomics; Sociology; Political science; Offspring; Biology","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":[0.004168288,0.0003503118,0.000670733,0.001370359,0.0003596578,0.002132272,0.0008723759,0.001324309,0.00708787],"category_scores_gemma":[0.02996066,0.0004233915,0.0009768844,0.00165954,0.001645843,0.002001892,0.003173724,0.001693735,0.000564029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006031549,"about_ca_system_score_gemma":0.0004975036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00696246,"about_ca_topic_score_gemma":0.004551922,"domain_scores_codex":[0.9969403,0.001529325,0.0001494841,0.0004021885,0.0003486334,0.0006300671],"domain_scores_gemma":[0.9732506,0.01559535,0.006368632,0.001762717,0.0008004389,0.002222306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002490707,0.00007414199,0.9835306,0.00004799391,0.0002917964,0.0003512599,0.0009537936,0.001061138,0.0002610924,0.005995777,0.000248946,0.006934488],"study_design_scores_gemma":[0.00002846899,0.0001042017,0.9790106,0.00007016945,0.0001378656,0.0003631044,0.001802098,0.004352489,0.0001869748,0.01341778,0.0004938345,0.00003258027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908587,0.001592626,0.00208874,0.001721643,0.00003538657,0.00003209284,0.0003225142,0.00001673765,0.003331455],"genre_scores_gemma":[0.9991597,0.0001246075,0.0003133415,0.00008798316,0.00001394416,0.000007710968,0.00007488971,0.000004803509,0.000213139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00708787,"threshold_uncertainty_score":0.02371126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187603616856204,"score_gpt":0.2418983511005579,"score_spread":0.2300223149319958,"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."}}