{"id":"W2998019896","doi":"10.4018/ijeach.2020010108","title":"Accessibility Monitoring for People with Disabilities","year":2019,"lang":"en","type":"article","venue":"International Journal of Extreme Automation and Connectivity in Healthcare","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Legislation; Internet privacy; Web accessibility; Assistive technology; Mobile apps; Embodied cognition; Disabled people; Android (operating system); Android app; Universal design; Computer science; Compliance (psychology); Computer security; Business; World Wide Web; Political science; Human–computer interaction; Psychology; Law; The Internet; Applied psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205546,0.0000911312,0.0002386449,0.0001463806,0.00008721279,0.000215576,0.0002662308,0.00006190844,0.00004404195],"category_scores_gemma":[0.001384695,0.00007869855,0.0000683915,0.000142198,0.0001265734,0.001751178,0.00003416709,0.0001208676,0.000001550284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394295,"about_ca_system_score_gemma":0.0003148068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793098,"about_ca_topic_score_gemma":0.006582133,"domain_scores_codex":[0.9985218,0.0001502952,0.0004364885,0.0001799539,0.0005351436,0.0001763336],"domain_scores_gemma":[0.9975629,0.001134005,0.0002891952,0.0001009684,0.0008253523,0.00008761264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001807241,0.00009989685,0.954713,0.0000964974,0.00001802988,5.423173e-7,0.007694901,0.00002325787,0.00001670808,0.01964902,0.000004519012,0.01750283],"study_design_scores_gemma":[0.0009903184,0.0002359372,0.8961408,0.0002763639,0.000005947984,0.000007972261,0.03828823,0.0003597218,0.00009818366,0.06318828,0.0002670368,0.0001412342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884885,0.0001076337,0.000169071,0.008908755,0.0007787232,0.0004121172,0.00001786198,0.00002578445,0.001091563],"genre_scores_gemma":[0.9993064,0.00003025513,0.0003189927,0.00005719624,0.0001805322,0.00002020618,0.000002471679,0.000006894032,0.0000770874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0585723,"threshold_uncertainty_score":0.3672985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05832188681696859,"score_gpt":0.3730216734945043,"score_spread":0.3146997866775357,"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."}}