{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194544,0.000199885,0.0002879721,0.001746179,0.002941776,0.004284272,0.0008959097,0.0008661911,0.04936889],"category_scores_gemma":[0.008291066,0.0001713113,0.0004670227,0.002185837,0.0008315959,0.002651735,0.00706424,0.000792037,0.008156206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009003548,"about_ca_system_score_gemma":0.002694015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150141,"about_ca_topic_score_gemma":0.003783525,"domain_scores_codex":[0.9987018,0.0005335896,0.0001215696,0.0001063335,0.0003151229,0.0002215002],"domain_scores_gemma":[0.9956784,0.001209913,0.0005141764,0.0008763602,0.0005565551,0.001164648],"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":[0.0001327241,0.0006077507,0.04452141,0.0009348964,0.00002161538,0.0006381996,0.009032083,0.000257331,0.002836928,0.02772391,0.04488151,0.8684115],"study_design_scores_gemma":[0.0001001379,0.0008996131,0.116573,0.001216213,0.00006593244,0.003130635,0.02195916,0.0004746339,0.003231979,0.01651462,0.8357695,0.00006464634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5351294,0.009933978,0.03302734,0.01320239,0.0009417019,0.0008523021,0.001496632,0.00458008,0.4008363],"genre_scores_gemma":[0.9201713,0.004382343,0.02339698,0.002042159,0.0002664887,0.0005898853,0.0007190524,0.0002722583,0.04815957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04936889,"threshold_uncertainty_score":0.1651554,"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."}}