{"id":"W4323966612","doi":"10.14722/madweb.2023.23074","title":"Applying Accessibility Metrics to Measure the Threat Landscape for Users with Disabilities","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Measure (data warehouse); Computer science; Web accessibility; Computer security; World Wide Web; Database; The Internet","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":[0.003355637,0.000599435,0.0003640141,0.01349979,0.001074037,0.002432323,0.0004909564,0.0006053224,0.003127235],"category_scores_gemma":[0.03743631,0.0001827341,0.000688385,0.005124947,0.0008887982,0.003923967,0.002539926,0.0007969171,0.0005417879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344789,"about_ca_system_score_gemma":0.001094458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008085282,"about_ca_topic_score_gemma":0.01280863,"domain_scores_codex":[0.9963794,0.001058248,0.000415398,0.0002632806,0.001585431,0.000298218],"domain_scores_gemma":[0.9708665,0.01394148,0.006402844,0.001633094,0.006017941,0.00113807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001595517,0.0002616755,0.7643922,0.0005235157,0.0001774007,0.0002670257,0.005450769,0.004665517,0.00176173,0.009968924,0.005412164,0.2069596],"study_design_scores_gemma":[0.00001721173,0.0006681117,0.8954877,0.00063262,0.0002090407,0.001319048,0.01582907,0.02942759,0.004721872,0.02458039,0.02691452,0.0001928874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8905212,0.0008845908,0.06512545,0.001332679,0.00006133175,0.0006571982,0.004080008,0.0007395504,0.03659804],"genre_scores_gemma":[0.9825261,0.0002501325,0.01514973,0.0000714948,0.00001675903,0.0001934635,0.0008920191,0.00003706061,0.0008632917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349979,"threshold_uncertainty_score":0.01774651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09897627310851516,"score_gpt":0.3570408652770617,"score_spread":0.2580645921685466,"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."}}