{"id":"W4391719247","doi":"10.1080/23311886.2024.2312648","title":"‘When my husband died, I collected debt of N20,000……were going to take me to the court, but since the money came, I have cleared my debt and bought cattle’: intended and unintended socioeconomic impact of cash transfer program in Nigeria","year":2024,"lang":"en","type":"article","venue":"Cogent Social Sciences","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women and Gender Equality Canada","funders":"","keywords":"Clearance; Debt; Business; Bad debt; Economics; Law; Monetary economics; Finance; Political science; Medicine","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":[0.003326016,0.0001834467,0.0002330472,0.0003684753,0.003807501,0.001613331,0.0004490238,0.0007289693,0.002743957],"category_scores_gemma":[0.005934793,0.0002082072,0.0001845889,0.0006618617,0.003221181,0.00356481,0.001803442,0.002039437,0.0001801631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719555,"about_ca_system_score_gemma":0.003568267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134152,"about_ca_topic_score_gemma":0.02132458,"domain_scores_codex":[0.9980118,0.001371967,0.00007691529,0.00007023838,0.0001917216,0.0002774156],"domain_scores_gemma":[0.9975637,0.0012132,0.0007023333,0.00004852787,0.0002368928,0.0002352876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002230585,0.0003219302,0.1156071,0.001984557,0.00004915827,0.01056534,0.7256197,0.0002255756,0.001221522,0.01875339,0.01872271,0.1067059],"study_design_scores_gemma":[0.00001497813,0.0002311,0.06085813,0.002102537,0.00003279597,0.002169011,0.8840299,0.0001877913,0.0005898699,0.003049748,0.04669132,0.00004275006],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643907,0.002578353,0.0006361002,0.01606888,0.0002128228,0.00009304538,0.0001338204,0.000006168024,0.01588018],"genre_scores_gemma":[0.9918805,0.003037389,0.000551614,0.002364243,0.00003306294,0.00006074795,0.00004768675,0.000005726217,0.002019049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009134152,"threshold_uncertainty_score":0.01973182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024032511851282,"score_gpt":0.3163083281373186,"score_spread":0.2960680030188058,"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."}}