{"id":"W7130692856","doi":"10.5281/zenodo.18707924","title":"Designing User Interfaces for Low-Literacy Populations in African Contexts: A Cape Verde Case Study","year":2000,"lang":"en","type":"article","venue":"Open MIND","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":"Cape verde; Usability; User interface; Interface (matter); Focus (optics); User interface design; User experience design; Preference","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003079389,0.000661248,0.0003908147,0.0008438525,0.004314098,0.001291252,0.001094822,0.001369253,0.002983477],"category_scores_gemma":[0.01112814,0.000350919,0.0003196903,0.0008028104,0.001563781,0.0009563559,0.001452634,0.0007212867,0.0003045808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266515,"about_ca_system_score_gemma":0.001865957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0635633,"about_ca_topic_score_gemma":0.1302535,"domain_scores_codex":[0.9979055,0.001416099,0.00008259705,0.0001130052,0.0002100311,0.0002727696],"domain_scores_gemma":[0.9966757,0.002267325,0.0002369816,0.0001685025,0.0003186349,0.0003327093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000538412,0.003058548,0.1114398,0.001654912,0.00006211624,0.04145598,0.716875,0.001589952,0.01139082,0.003841472,0.00459849,0.1034946],"study_design_scores_gemma":[0.0002773727,0.003207828,0.1988343,0.001500594,0.0002254146,0.02045924,0.6974348,0.008238702,0.01260749,0.00142718,0.05555985,0.0002271663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960964,0.0001317096,0.0007677364,0.0004853254,0.000004174412,0.0002358786,0.000037818,0.000006262001,0.002234625],"genre_scores_gemma":[0.9917886,0.0003222153,0.005025439,0.0001704734,0.000003635288,0.0002107824,0.00003163863,0.000008537784,0.002438712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0635633,"threshold_uncertainty_score":0.1263866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116926680725658,"score_gpt":0.3816360053084907,"score_spread":0.2647093245828327,"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."}}