{"id":"W4392850689","doi":"10.3390/jrfm17030119","title":"Digital Literacy, Insurtech Adoption and Insurance Inclusion in Uganda","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Development","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Financial inclusion; Literacy; Digital inclusion; Business; Economics; Economic growth; Sociology; Computer science; World Wide Web; Social science; The Internet; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300615,0.0002002146,0.0002982083,0.00121727,0.0009931708,0.00166772,0.0002627712,0.0003227785,0.002595833],"category_scores_gemma":[0.007599221,0.000263144,0.0002568979,0.001272014,0.001017246,0.001135097,0.00233072,0.000846552,0.0001596866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007451586,"about_ca_system_score_gemma":0.0008826606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006858004,"about_ca_topic_score_gemma":0.01208025,"domain_scores_codex":[0.998924,0.0004755152,0.00008698571,0.00008428274,0.0001847433,0.0002445911],"domain_scores_gemma":[0.9949452,0.001780796,0.002212954,0.0001493783,0.0003358202,0.0005758926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003339576,0.00013833,0.9764845,0.00005835349,0.00002474847,0.0003746772,0.01055269,0.00005944485,0.0001109212,0.0006269632,0.0001280931,0.01140806],"study_design_scores_gemma":[0.000003018525,0.00008587755,0.9831255,0.0001376196,0.00002169954,0.0002732459,0.01427412,0.0002259131,0.0001088485,0.0003292444,0.001405001,0.000009933237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982327,0.0002230101,0.00004984092,0.0001110446,0.000002138203,0.000007493401,0.00002422558,7.753695e-7,0.001348712],"genre_scores_gemma":[0.9994949,0.0001657318,0.00007609311,0.00002154742,0.000001916167,0.000006727773,0.00001517585,5.597222e-7,0.0002173655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006858004,"threshold_uncertainty_score":0.01363617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003544707248972898,"score_gpt":0.1946580256617189,"score_spread":0.191113318412746,"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."}}