{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007151278,0.0003279074,0.0001860848,0.001373334,0.00102322,0.001080923,0.0003929849,0.0005623981,0.003874798],"category_scores_gemma":[0.005489105,0.000121633,0.0002640943,0.0005723431,0.0003187538,0.001215264,0.001632936,0.0004697241,0.001144702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121659,"about_ca_system_score_gemma":0.0008656102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006552791,"about_ca_topic_score_gemma":0.01009395,"domain_scores_codex":[0.999257,0.0002295059,0.00007046739,0.0001215067,0.0002477476,0.00007363225],"domain_scores_gemma":[0.9983376,0.0004603744,0.0002856353,0.0002099574,0.0005726115,0.0001338254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002054999,0.0002491,0.08458801,0.0007616682,0.00003263323,0.0007498811,0.01455387,0.0003438697,0.007831128,0.004477522,0.0347828,0.8514241],"study_design_scores_gemma":[0.00009218581,0.001212464,0.3919305,0.002589364,0.000343099,0.008279776,0.02885216,0.007894062,0.02633236,0.01293278,0.5192198,0.0003214874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6729997,0.005382713,0.08678034,0.008405614,0.0005843306,0.002191251,0.003850309,0.008371814,0.211434],"genre_scores_gemma":[0.952469,0.002286998,0.02947668,0.0005619794,0.00007814147,0.0005566178,0.0007060784,0.00008990213,0.01377457],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006552791,"threshold_uncertainty_score":0.01302928,"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."}}