{"id":"W2984403907","doi":"10.33137/ijidi.v4i1.32340","title":"Library Computer Workstations for Inclusive College Student Populations","year":2019,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Universal design; Construct (python library); Workstation; Computer science; Universal Design for Learning; Population; Process (computing); Sociology; World Wide Web; Pedagogy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00105678,0.0001058663,0.0001622579,0.0002740443,0.001765778,0.0003795341,0.001766968,0.00006818444,0.0005761018],"category_scores_gemma":[0.0002731096,0.00008314964,0.0002337946,0.0002474115,0.0001765251,0.006980424,0.004025875,0.0001576697,0.00008010518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004775496,"about_ca_system_score_gemma":0.0003426777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783511,"about_ca_topic_score_gemma":0.0001665674,"domain_scores_codex":[0.9975528,0.00009098253,0.0006280639,0.00008039908,0.001482831,0.0001649891],"domain_scores_gemma":[0.9973607,0.0005153757,0.000705067,0.0001407375,0.001181048,0.00009704227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006184602,0.0004439832,0.1187298,0.00003050015,0.0003371588,0.000003430905,0.199026,0.006811883,0.000008374114,0.5909071,0.06673172,0.01635166],"study_design_scores_gemma":[0.004616251,0.0004722335,0.1113081,0.0003403986,0.0001450748,0.00002392191,0.1528186,0.003785437,0.000105584,0.2709517,0.4547957,0.0006370466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344323,0.00002818863,0.004848356,0.02740224,0.003635153,0.0008759363,0.000311922,0.00005690744,0.02840894],"genre_scores_gemma":[0.9944382,0.00002851185,0.002142333,0.001985415,0.0003667273,0.000003770676,0.00007289211,0.000005229199,0.0009569686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3880639,"threshold_uncertainty_score":0.9995338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205172748314329,"score_gpt":0.318318493509738,"score_spread":0.2978012186783051,"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."}}