{"id":"W7131188877","doi":"10.1109/iccvw69036.2025.00517","title":"FusionEnsembleNet: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition","year":2025,"lang":"","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sign language; Gesture; Modalities; RGB color model; Gesture recognition; Pattern recognition (psychology); Ensemble learning; Code (set theory)","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":[0.001502256,0.0004690848,0.0007272834,0.0005760888,0.0003546091,0.0002743164,0.0006707536,0.0005128051,0.0001754548],"category_scores_gemma":[0.0001570177,0.0004700928,0.0004249567,0.001135936,0.0001079488,0.0006165315,0.0001200309,0.0002452233,0.00004375209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000914893,"about_ca_system_score_gemma":0.0005388385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006405968,"about_ca_topic_score_gemma":0.0006011872,"domain_scores_codex":[0.9958205,0.0006052819,0.001371278,0.001079261,0.0004800334,0.0006436143],"domain_scores_gemma":[0.9961206,0.0007608236,0.0006479319,0.000938402,0.001295922,0.0002362971],"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":[0.0003592297,0.001073702,0.001375266,0.000705991,0.000157326,0.000009628156,0.0007465532,0.004269366,0.01413071,0.0008329177,0.001433437,0.9749058],"study_design_scores_gemma":[0.00377536,0.0007375001,0.002769912,0.0009832772,0.0001282334,0.000004225686,0.000500633,0.9630889,0.02632601,0.0006864472,0.0004175468,0.0005819498],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07515758,0.0004684933,0.9167944,0.0006220841,0.002182941,0.00210057,0.0001004146,0.0001718719,0.002401629],"genre_scores_gemma":[0.9489536,0.0000226247,0.04784149,0.0005916342,0.0003500677,0.0001935707,0.0003958911,0.00003216326,0.00161898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9743239,"threshold_uncertainty_score":0.9997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393928254234479,"score_gpt":0.2863721809198035,"score_spread":0.2624328983774588,"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."}}