{"id":"W4415256959","doi":"10.1145/3757454","title":"Accessibility Work in Academia: Balancing Needs, Bridging Gaps, and Breaking Down Barriers","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bridging (networking); Work (physics); Web accessibility; Government (linguistics); Intersection (aeronautics); Inclusion (mineral)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02600969,0.0005897768,0.001020636,0.004121142,0.02939624,0.0181607,0.003631372,0.004158739,0.00637402],"category_scores_gemma":[0.03879038,0.0007925198,0.0006221837,0.002863128,0.02044113,0.01929733,0.02802886,0.003576994,0.001086615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009552116,"about_ca_system_score_gemma":0.04201384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650502,"about_ca_topic_score_gemma":0.02814402,"domain_scores_codex":[0.9744748,0.01623552,0.001255683,0.001375705,0.002844553,0.003813662],"domain_scores_gemma":[0.9677999,0.01291859,0.002137889,0.003261999,0.004176879,0.009704689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001432623,0.000380362,0.0350782,0.0008722857,0.00003822829,0.0009224246,0.6711695,0.0007645579,0.002154719,0.112608,0.004925821,0.1709427],"study_design_scores_gemma":[0.00003790075,0.0002626264,0.01017265,0.001059151,0.00004574403,0.0003442247,0.792628,0.001278761,0.0006590335,0.1118022,0.08164009,0.00006967326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708575,0.004253964,0.04711346,0.09148175,0.0005378753,0.0003087259,0.00005175177,0.0005382721,0.08485679],"genre_scores_gemma":[0.9864188,0.0007809061,0.00797911,0.001355552,0.00004714787,0.000147553,0.00001775182,0.00004645451,0.003206674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939624,"threshold_uncertainty_score":0.137554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05578941888617848,"score_gpt":0.4306027081112403,"score_spread":0.3748132892250618,"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."}}