{"id":"W2037812907","doi":"10.1080/10400435.2013.853329","title":"Use of Assistive Technologies in Academic Libraries: A Survey","year":2013,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Assistive technology; Medical education; Psychology; Computer science; Medicine; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002387603,0.000149771,0.0004120419,0.003461482,0.0009581498,0.001739316,0.0003674422,0.0005684168,0.001465608],"category_scores_gemma":[0.007040659,0.0003115411,0.0003205677,0.003685809,0.0004852481,0.001965649,0.001137158,0.0005336644,0.0006369013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020376,"about_ca_system_score_gemma":0.001509595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007431924,"about_ca_topic_score_gemma":0.01142296,"domain_scores_codex":[0.9975364,0.0008192025,0.0005185819,0.0001312946,0.0006442194,0.000350323],"domain_scores_gemma":[0.99259,0.002188628,0.00226874,0.0001899095,0.001889523,0.000873232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006853078,0.000285451,0.9113233,0.0004513104,0.00003319838,0.0005123786,0.0445559,0.000100058,0.0007738501,0.0001667886,0.001450095,0.04027909],"study_design_scores_gemma":[0.000005623816,0.0004123927,0.8639748,0.0002060651,0.00002539008,0.00127752,0.1200835,0.0002982721,0.0005713114,0.00006107806,0.01304007,0.00004406375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962999,0.0006280226,0.000145138,0.0003265617,0.000004680823,0.00003896018,0.0003938877,0.00001109702,0.002151807],"genre_scores_gemma":[0.9951578,0.002512458,0.0003910143,0.0003478719,0.0000138327,0.0000691675,0.0003278467,0.00000668512,0.001173286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007431924,"threshold_uncertainty_score":0.0147773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08482083936834164,"score_gpt":0.3389796641667621,"score_spread":0.2541588247984204,"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."}}