{"id":"W7131152157","doi":"10.5281/zenodo.18750213","title":"E-Voucher Systems and Their Impact on Food Security and Economic Empowerment Amongst Smallholder Women Farmers in Uganda","year":2002,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Food security; Empowerment; Subsidy; Payment; Agriculture; Impact evaluation; Economic impact analysis; Food systems","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005789434,0.0001616174,0.000163602,0.0002505275,0.0006714124,0.001173207,0.0008694353,0.00004903707,0.0006269542],"category_scores_gemma":[0.00005426186,0.0001409487,0.0000195458,0.000208613,0.0001253911,0.0003452861,0.001288292,0.0002372974,0.0003518482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386231,"about_ca_system_score_gemma":0.000003428549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004629846,"about_ca_topic_score_gemma":0.000001028454,"domain_scores_codex":[0.9986943,0.0003235687,0.0001928991,0.0003009888,0.0001321276,0.0003561028],"domain_scores_gemma":[0.9992227,0.0000459681,0.00006784534,0.0004562694,0.00007302121,0.0001342123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002827763,0.001253713,0.002173573,0.0007284777,0.0006823493,0.00008239133,0.6111885,0.002065214,0.00088379,0.05918352,0.116778,0.2046976],"study_design_scores_gemma":[0.004914679,0.005342335,0.03580955,0.0004514806,0.00001053499,0.0006876431,0.02263138,0.1200096,0.0005525497,0.003074347,0.8045754,0.001940519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818462,0.0001696504,0.0004571932,0.00036814,0.00009311376,0.0002943494,0.00003946815,0.0002685653,0.01646338],"genre_scores_gemma":[0.9992881,0.0001700347,0.00004036877,0.00008010572,0.00002523521,1.340216e-7,0.00002068462,0.0002372962,0.000138067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877974,"threshold_uncertainty_score":0.9998637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319724361504069,"score_gpt":0.2290360455795925,"score_spread":0.1958388019645518,"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."}}