{"id":"W4405576246","doi":"10.4995/eurocall2024.2024.19042","title":"Fostering equity, accessibility and academic integrity within an LMS module","year":2024,"lang":"en","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Academic integrity; Computer science; Learning Management; Asynchronous communication; Web accessibility; Comprehension; Presentation (obstetrics); Equity (law); Multimedia; Medical education; The Internet; World Wide Web; Telecommunications","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":[0.00115717,0.00009631798,0.0000996755,0.00005400446,0.00008240653,0.0005483914,0.0006932249,0.0001097557,0.00001617102],"category_scores_gemma":[0.00005845282,0.00007497975,0.00002395011,0.000229198,0.00006546138,0.002057462,0.001774919,0.0004643328,0.00001836732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005324498,"about_ca_system_score_gemma":0.0000731106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001366585,"about_ca_topic_score_gemma":0.0001011352,"domain_scores_codex":[0.9987891,0.00007174213,0.0002289017,0.0005708029,0.0001758702,0.0001635847],"domain_scores_gemma":[0.9992248,0.00008092153,0.00002436978,0.0005286056,0.00003145991,0.0001098484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003854878,0.00003398207,0.002508586,0.0001178045,0.000005378593,0.000002464602,0.002778332,0.00001480619,0.009393233,0.2207263,0.00006627667,0.764349],"study_design_scores_gemma":[0.00005850012,0.00006129287,0.05290365,0.00003589935,0.000004022708,0.00002308575,0.00007681122,0.5370726,0.009606608,0.3998636,0.0001149864,0.000178974],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.546495,0.0001338439,0.4497519,0.001338842,0.000234884,0.0001073345,0.000001557214,0.0004332533,0.001503322],"genre_scores_gemma":[0.9838336,0.000008991375,0.01585349,0.0001424621,0.00004220242,0.000008756111,0.000001830637,0.000004157363,0.0001044908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.76417,"threshold_uncertainty_score":0.5288152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784288077401297,"score_gpt":0.4075352660311423,"score_spread":0.2291064582910126,"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."}}