{"id":"W4409159718","doi":"10.12688/verixiv.948.1","title":"Mapping the Potentials and Limitations of Using Generative AI Technologies to Address Socio-Economic Challenges in LMICs","year":2025,"lang":"en","type":"preprint","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Steel Producers Association; Institute on Governance","funders":"Bill and Melinda Gates Foundation","keywords":"Generative grammar; Data science; Computer science; Geography; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003229886,0.0002614527,0.0004117659,0.0007521707,0.000121517,0.0003398937,0.0004830598,0.0002387114,0.000004625591],"category_scores_gemma":[0.0004357557,0.000226252,0.00007972036,0.0002551691,0.00015605,0.0004423082,0.002414853,0.0003375089,0.000008614819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130272,"about_ca_system_score_gemma":0.00007216343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005097137,"about_ca_topic_score_gemma":0.001198245,"domain_scores_codex":[0.998704,0.00001054418,0.0004616487,0.0004923845,0.00009438407,0.000237082],"domain_scores_gemma":[0.9990016,0.0001666955,0.0003435425,0.0003561565,0.0001282255,0.000003828191],"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":[0.00003792735,0.0001367831,0.006508129,0.002801271,0.0003231908,0.000009261325,0.002179795,0.04570653,0.001725731,0.6788508,0.002215244,0.2595053],"study_design_scores_gemma":[0.001315966,0.00003699704,0.02440379,0.008675491,0.0002911286,0.000005908665,0.0731115,0.1651262,0.005181251,0.6817488,0.03693778,0.003165134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831085,0.009005864,0.02547145,0.05882303,0.001421673,0.00300985,0.0001042188,0.0006342275,0.07044465],"genre_scores_gemma":[0.9948109,0.00181662,0.002498462,0.0004300683,0.0001136971,0.00009250198,0.00001112066,0.00001932296,0.0002072935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563402,"threshold_uncertainty_score":0.9226287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794099414245484,"score_gpt":0.2919183187247215,"score_spread":0.1125083773001732,"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."}}