{"id":"W4406774768","doi":"10.3389/frai.2024.1472236","title":"Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network","year":2025,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Food security; Sustainability; Agriculture; Sustainable agriculture; Food systems; Transformative learning; Software deployment; Business; Participatory action research; Environmental resource management; Economic growth; Economics; Engineering; Sociology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002775709,0.0002822218,0.0003784641,0.0004342026,0.0003398512,0.0007060372,0.0002575682,0.0002016377,0.000006769361],"category_scores_gemma":[0.0004043147,0.0002659785,0.0000320128,0.002925179,0.0001837511,0.001524252,0.0004469391,0.0003385099,0.00001459389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113675,"about_ca_system_score_gemma":0.00006312768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003101381,"about_ca_topic_score_gemma":0.0005957229,"domain_scores_codex":[0.9980825,0.00002782017,0.0006834742,0.0006006462,0.0002183656,0.000387226],"domain_scores_gemma":[0.9991567,0.00009058658,0.0002501733,0.0002261625,0.0002641515,0.00001226469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001421818,0.00006580044,0.006890138,0.0002349878,0.00007157552,0.0000185969,0.001443189,0.001641948,0.001128765,0.9600877,0.02246875,0.005806365],"study_design_scores_gemma":[0.00009711226,0.0000271099,0.001665081,0.0006049894,0.00004127002,0.000001364172,0.0042949,0.01170193,0.004417402,0.9344856,0.04216483,0.0004984274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.16683,0.01213878,0.7897943,0.001382767,0.004829085,0.0009319283,0.00001389058,0.0001974364,0.02388186],"genre_scores_gemma":[0.994176,0.0000702542,0.003735969,0.0009283596,0.0006730084,0.00004638086,0.00002311951,0.00002013483,0.0003268099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.827346,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040530000059408,"score_gpt":0.2558128659374719,"score_spread":0.2254075659368778,"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."}}