{"id":"W4391616595","doi":"10.32920/25164614.v1","title":"The Intersection of Digital Media and Accessibility: Studies with a focus on Integrating Accessibility Features into Enterprise Software","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Northern British Columbia; University of Manitoba; University of Lethbridge; University of Victoria; University of Calgary; University of Windsor; University of Ottawa; Vancouver Island University; University of Saskatchewan; Université Laval","keywords":"Accommodation; Intersection (aeronautics); Focus (optics); Perspective (graphical); Software; Business; Private enterprise; Knowledge management; Engineering management; Engineering; Computer science; Process management; Transport engineering; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004058113,0.0002804232,0.0004907034,0.002688416,0.004450703,0.008699422,0.000594491,0.001408187,0.003622908],"category_scores_gemma":[0.01100198,0.0002869153,0.0003334708,0.003113647,0.009078248,0.007794283,0.005341683,0.00201527,0.0002357774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974007,"about_ca_system_score_gemma":0.001902158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00731631,"about_ca_topic_score_gemma":0.01045252,"domain_scores_codex":[0.9967225,0.002250532,0.000127259,0.000288576,0.0003304491,0.0002807265],"domain_scores_gemma":[0.9885368,0.009493411,0.0006613763,0.0003043026,0.0005471067,0.0004569524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000293832,0.0003172888,0.009340586,0.0004645513,0.00001519828,0.0006517252,0.9381846,0.00004313325,0.0003763009,0.02268042,0.0005885991,0.02730827],"study_design_scores_gemma":[0.000009800751,0.0001692985,0.01614339,0.0009015402,0.00003811892,0.0007120228,0.9427545,0.0001007732,0.0005636241,0.002960082,0.03563023,0.00001664636],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105356,0.007168367,0.001859489,0.002667665,0.00008246054,0.00005947351,0.00002352583,0.00001171451,0.07759169],"genre_scores_gemma":[0.9924288,0.003829105,0.0003950058,0.0003003115,0.00002136546,0.00004679673,0.00000689536,0.00001017659,0.002961429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008699422,"threshold_uncertainty_score":0.02146161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085261976494725,"score_gpt":0.3515506913355428,"score_spread":0.3206980715705956,"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."}}