{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003050717,0.001657425,0.001358518,0.001629627,0.000881978,0.002148267,0.002450801,0.001803753,0.01086324],"category_scores_gemma":[0.008705342,0.0004374826,0.001604154,0.000928066,0.00105915,0.00493884,0.005089073,0.002311287,0.004749735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447207,"about_ca_system_score_gemma":0.001237618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005966649,"about_ca_topic_score_gemma":0.006103949,"domain_scores_codex":[0.9972478,0.001273385,0.0001134675,0.0008587556,0.0003641016,0.000142489],"domain_scores_gemma":[0.9971276,0.001655458,0.00008790877,0.0006803162,0.0003348314,0.000113871],"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":[0.0009803675,0.0006869129,0.002638384,0.0009806106,0.0003001886,0.0005319324,0.001173248,0.05584624,0.05456873,0.0167328,0.05098254,0.8145781],"study_design_scores_gemma":[0.0001228586,0.0004570876,0.002482217,0.0001122301,0.0001003695,0.0005067495,0.0008445386,0.8590069,0.0466523,0.04129039,0.04828666,0.0001376916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08846789,0.002696544,0.8170949,0.001638431,0.0003907463,0.0008606318,0.00755295,0.06896952,0.01232842],"genre_scores_gemma":[0.4908074,0.0004699322,0.4739495,0.001186759,0.0002140222,0.001058204,0.02345178,0.001237946,0.007624298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01086324,"threshold_uncertainty_score":0.03634119,"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."}}