{"id":"W2129259453","doi":"10.18438/b8pw32","title":"Urban Public Libraries Do Not Yet Meet Benchmarks for Web Accessibility by Individuals with Disabilities","year":2015,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Sample (material); Benchmark (surveying); Web site; Web accessibility; Computer science; Visual impairment; The Internet; Library science; Psychology; Web standards; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01643849,0.0003477076,0.0009017719,0.007506839,0.002219255,0.007881064,0.0018665,0.001179498,0.006751718],"category_scores_gemma":[0.06974225,0.000293131,0.0006587797,0.009392071,0.001818293,0.00765792,0.004521764,0.000882526,0.002197335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004525894,"about_ca_system_score_gemma":0.01382207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304716,"about_ca_topic_score_gemma":0.04666462,"domain_scores_codex":[0.9796295,0.005642,0.002975701,0.0008568596,0.009576621,0.001319422],"domain_scores_gemma":[0.8960312,0.02901022,0.01346256,0.005236421,0.05078198,0.005477605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001822967,0.0004491185,0.137621,0.01044871,0.0001702233,0.0003165834,0.01477241,0.000551188,0.0008990764,0.009969642,0.05703384,0.7675859],"study_design_scores_gemma":[0.00006572812,0.0005858217,0.4849295,0.00981125,0.0002881991,0.0009001624,0.07301667,0.0005100093,0.002333647,0.004808048,0.4226088,0.0001420189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5699949,0.07275397,0.01020308,0.05416914,0.0009354713,0.00190892,0.009606813,0.002037724,0.27839],"genre_scores_gemma":[0.9493957,0.02045701,0.01003598,0.005865574,0.0003008573,0.001093973,0.004428066,0.0002060767,0.008216843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02304716,"threshold_uncertainty_score":0.08693606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04279353511286266,"score_gpt":0.3078216477501513,"score_spread":0.2650281126372886,"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."}}