{"id":"W2115449776","doi":"10.1109/icdim.2009.5356784","title":"Human-computer interface design in an e-Learning system for individuals with cognitive and learning disabilities","year":2009,"lang":"en","type":"article","venue":"","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"Nipissing University","keywords":"Usability; Computer science; Human–computer interaction; Interface (matter); Cognition; Learning disability; Assistive technology; User interface; E learning; Multimedia; Psychology; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168059,0.0001696938,0.0002748421,0.00008894104,0.0005681521,0.0006648395,0.0001867208,0.00008301886,0.00002838003],"category_scores_gemma":[0.0005518763,0.0001413218,0.00003668399,0.0001782263,0.0005701673,0.001511077,0.00004229456,0.0002090417,0.000003628094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143726,"about_ca_system_score_gemma":0.00006025793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335796,"about_ca_topic_score_gemma":0.001137766,"domain_scores_codex":[0.9980361,0.0005839824,0.0002822564,0.0004305913,0.0002631935,0.0004038669],"domain_scores_gemma":[0.9983949,0.001199183,0.00008453315,0.00008627478,0.0001211787,0.0001138971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001967612,0.0004133837,0.6203756,0.0002513985,0.00004439708,0.000001775228,0.2621158,0.002062245,0.00003054755,0.0636868,0.00002996525,0.05079132],"study_design_scores_gemma":[0.0013458,0.003427743,0.04034531,0.0005196048,0.0000314626,0.000002204884,0.942863,0.001310672,0.0002719665,0.008999978,0.0003064971,0.0005757665],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717615,0.00002869137,0.00932428,0.0001212089,0.00002758784,0.0009157249,0.000003769223,0.0002623458,0.01755489],"genre_scores_gemma":[0.9954841,7.726564e-7,0.002939333,0.00003474793,0.00007284138,0.00005808767,0.000006034213,0.00001374399,0.001390377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6807472,"threshold_uncertainty_score":0.6411062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265420290320748,"score_gpt":0.3398076436612699,"score_spread":0.2971534407580624,"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."}}