{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002706427,0.0002032912,0.0002680618,0.0001324546,0.001043169,0.0007950985,0.0009314943,0.00008675076,0.000186591],"category_scores_gemma":[0.005205067,0.0001161152,0.0001624494,0.002553517,0.0007760661,0.001009065,0.0001904531,0.0001037406,0.00008954423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820445,"about_ca_system_score_gemma":0.0002326859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344072,"about_ca_topic_score_gemma":0.0175391,"domain_scores_codex":[0.997403,0.0001313924,0.0003098731,0.0005530381,0.0009142525,0.0006884646],"domain_scores_gemma":[0.9957398,0.003052942,0.00005962593,0.0006219232,0.0003161311,0.0002095311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002232285,0.0001528149,0.8316762,0.0001847815,0.00007845005,4.521048e-7,0.03195361,0.0001443613,0.000007055914,0.08504156,0.012021,0.03851646],"study_design_scores_gemma":[0.000776327,0.0003019626,0.05833442,0.00007274158,0.00008158758,5.445503e-7,0.750543,0.0002591757,0.000217539,0.1218503,0.06674652,0.0008158982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.844718,0.00004206346,0.0006307498,0.006164563,0.0002633021,0.004283855,0.00008561988,0.0008084203,0.1430035],"genre_scores_gemma":[0.9887621,0.000005878517,0.0003709483,0.0003364761,0.0001591592,0.002111814,0.00001421383,0.00002661047,0.008212745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7733418,"threshold_uncertainty_score":0.9787229,"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."}}