{"id":"W4410341907","doi":"10.1109/icnc64010.2025.10993997","title":"On-Body e-Hub: Accessibility Technology for People with Disabilities","year":2025,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Internet privacy; Business","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":[0.0007458868,0.0004743686,0.000279778,0.0007911515,0.0005064213,0.0009901442,0.001090716,0.001025334,0.007787339],"category_scores_gemma":[0.002569642,0.000124893,0.0003247032,0.0003548393,0.0004436697,0.001966375,0.002737283,0.0005404289,0.001649509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003150933,"about_ca_system_score_gemma":0.0004489949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065981,"about_ca_topic_score_gemma":0.001662371,"domain_scores_codex":[0.9994398,0.0002265559,0.00003070871,0.00009164624,0.0001426855,0.00006854317],"domain_scores_gemma":[0.9991346,0.0002792423,0.00007987733,0.0002329104,0.000173243,0.0001000567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005133572,0.0003784012,0.007935041,0.001050869,0.00005532434,0.001167683,0.004470771,0.003771589,0.04412758,0.03058282,0.01824069,0.8877059],"study_design_scores_gemma":[0.0001662137,0.002516903,0.0592534,0.002325376,0.0004257679,0.0101481,0.01384677,0.06654106,0.1044218,0.06248659,0.6774971,0.0003708248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1506492,0.001692903,0.7410876,0.002370674,0.0003296749,0.000891599,0.0009408499,0.006424419,0.09561319],"genre_scores_gemma":[0.8183823,0.002060428,0.1506853,0.0008513262,0.0001340445,0.0006573882,0.0006210872,0.0002360374,0.02637209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007787339,"threshold_uncertainty_score":0.02605128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840224282339492,"score_gpt":0.2961495541838513,"score_spread":0.2777473113604564,"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."}}