{"id":"W4417249200","doi":"10.1109/ivcnz67716.2025.11281867","title":"Visual Question Answering Using Multimodal Data Augmentation for Hausa","year":2025,"lang":"","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Hausa; Question answering; Multimodality; Baseline (sea); Multimodal therapy; Multimodal interaction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001161906,0.0003477112,0.0003090143,0.0003601211,0.0008650378,0.0007401081,0.001916695,0.000181299,0.0000419672],"category_scores_gemma":[0.000408757,0.0003985777,0.0000856672,0.0009488434,0.00009534355,0.001558024,0.001489694,0.0003069424,0.00003831037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288093,"about_ca_system_score_gemma":0.0004356002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006268307,"about_ca_topic_score_gemma":0.0001497748,"domain_scores_codex":[0.996721,0.0001991263,0.0007310332,0.001492682,0.0003245129,0.0005316425],"domain_scores_gemma":[0.9970981,0.0004341757,0.0002839421,0.001767452,0.0002891756,0.0001271357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009798584,0.0006508956,0.0108922,0.0003854036,0.0001804322,0.000001506608,0.0006729448,0.07928314,0.03447405,0.0967112,0.0005452215,0.776105],"study_design_scores_gemma":[0.00112543,0.00007408779,0.01775914,0.0001764362,0.0001035559,0.000003083042,0.00006849961,0.9760683,0.0019026,0.0009124369,0.001454374,0.0003520877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05839469,0.0001275833,0.9348113,0.003260967,0.001111628,0.001510821,0.00005124098,0.000291944,0.0004398418],"genre_scores_gemma":[0.5951667,0.000008897376,0.4037439,0.000270139,0.0001395923,0.00006122403,0.0001686338,0.00001730101,0.0004236335],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8967851,"threshold_uncertainty_score":0.9998466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06130410411759673,"score_gpt":0.4417160367484098,"score_spread":0.380411932630813,"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."}}