{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001236235,0.0001895047,0.0003286963,0.0001275103,0.00131796,0.0003259083,0.0005303337,0.000110341,0.0001078479],"category_scores_gemma":[0.0001924164,0.0001238432,0.0001204954,0.0006446624,0.001978096,0.0002258728,0.00006291563,0.0001577494,0.000003868605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565557,"about_ca_system_score_gemma":0.001118435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01411185,"about_ca_topic_score_gemma":0.1252383,"domain_scores_codex":[0.9980059,0.0003049605,0.0003888644,0.0004235204,0.0003807463,0.000496036],"domain_scores_gemma":[0.9991958,0.0002835167,0.00008386851,0.0001259698,0.0001428356,0.0001680217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001981602,0.0002393927,0.0895082,0.00007506582,0.0002096209,0.000003251526,0.8687647,0.00005097112,0.001555382,0.009117779,0.01240621,0.01787124],"study_design_scores_gemma":[0.001047817,0.0008696983,0.5837367,0.0003089159,0.0001716582,0.00000871195,0.3682421,0.0006692305,0.001327814,0.009531096,0.03322184,0.0008644937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752557,0.001416062,0.00002514062,0.0195306,0.0002933585,0.00108161,0.0001350588,0.00003570579,0.002226799],"genre_scores_gemma":[0.9986914,0.000348271,0.00004772102,0.0002493715,0.0001425242,0.00006038645,0.000004679899,0.00001187293,0.0004437711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5005227,"threshold_uncertainty_score":0.9999822,"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."}}