{"id":"W1523120497","doi":"10.18438/b8m90f","title":"Making Life Easier for the Visually Impaired Web Searcher: It Is Now Clearer How This Should and Can Be Done, but Implementation Lags","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Computer science; Screen reader; Coding (social sciences); Task (project management); World Wide Web; Observational study; Psychology; Visual search; Information retrieval; Visually impaired; Multimedia; Human–computer interaction; Artificial intelligence; Medicine","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":[0.003697778,0.000634007,0.0008965958,0.001720071,0.001293649,0.007929996,0.001245439,0.003577065,0.00798131],"category_scores_gemma":[0.008889754,0.0002474104,0.0005387538,0.001544884,0.004454366,0.008855152,0.002549036,0.002908312,0.003956058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529616,"about_ca_system_score_gemma":0.005863445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542658,"about_ca_topic_score_gemma":0.01565842,"domain_scores_codex":[0.9977986,0.0006366217,0.0002857098,0.0003782172,0.0006778497,0.000222874],"domain_scores_gemma":[0.9926314,0.003179749,0.000464166,0.0003342957,0.002550786,0.0008396003],"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":[0.00005867711,0.0001349546,0.003108758,0.008441824,0.00005787753,0.0002403622,0.00490857,0.0001061112,0.001191872,0.01548068,0.07043249,0.8958378],"study_design_scores_gemma":[0.00001913875,0.0002283519,0.02178191,0.01596305,0.00007224544,0.001136497,0.01495617,0.0001078653,0.0009024433,0.01389504,0.9308402,0.00009710363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0139955,0.7878339,0.003612169,0.1520758,0.003763995,0.00005366932,0.0002999186,0.0002424767,0.03812262],"genre_scores_gemma":[0.09818976,0.841266,0.008144639,0.03139422,0.001710288,0.0001474093,0.0003447118,0.0001460755,0.01865682],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01542658,"threshold_uncertainty_score":0.03067356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100790019745049,"score_gpt":0.3869241521004913,"score_spread":0.2861341323554423,"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."}}