{"id":"W1609386997","doi":"","title":"The Link between Extreme Poverty and Young Dependents in the Philippines: Evidence from Household Surveys 1","year":2012,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of the Philippines","keywords":"Poverty; Underemployment; Quarter (Canadian coin); Household income; Population; Extreme poverty; Demographic economics; Economics; Geography; Socioeconomics; Demography; Economic growth; Unemployment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864043,0.0002976499,0.0002760687,0.001631097,0.0005164034,0.0007331434,0.0006200579,0.0003834621,0.001658356],"category_scores_gemma":[0.006936207,0.0003065089,0.0004264481,0.003128869,0.0005573834,0.0005518379,0.000993229,0.0006087541,0.0002585654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003911082,"about_ca_system_score_gemma":0.0004938664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04413826,"about_ca_topic_score_gemma":0.04192348,"domain_scores_codex":[0.9986367,0.0008350384,0.0001096405,0.000116109,0.0001635462,0.0001390173],"domain_scores_gemma":[0.990809,0.002786485,0.004117728,0.0004077486,0.001147295,0.0007319037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001730538,0.00002763894,0.9965591,0.00006186677,0.00007645438,0.00007966155,0.0007194609,0.0000255833,0.00001653494,0.00002700976,0.0002320021,0.002157413],"study_design_scores_gemma":[9.594113e-7,0.00003188344,0.9983422,0.00004416271,0.00002881574,0.00005463507,0.001102093,0.00006677305,0.00001291453,0.00001752012,0.0002951098,0.000002956889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955675,0.001489011,0.0001313545,0.0003348769,0.000008677942,0.00001830288,0.001260616,0.000003806095,0.00118589],"genre_scores_gemma":[0.9977264,0.001285047,0.0001097327,0.00007884231,0.00001364679,0.00001713873,0.000578739,0.000001752081,0.000188701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04413826,"threshold_uncertainty_score":0.08776265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196152126432928,"score_gpt":0.2884867465244096,"score_spread":0.1688715338811169,"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."}}