{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005736398,0.0001977129,0.0002427919,0.001100465,0.0009085062,0.002784234,0.0007027913,0.0006814003,0.003585471],"category_scores_gemma":[0.03102076,0.0001133154,0.000225014,0.0006295783,0.001054212,0.00226856,0.003856935,0.0008025412,0.0005524028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469751,"about_ca_system_score_gemma":0.002394697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007905,"about_ca_topic_score_gemma":0.001781017,"domain_scores_codex":[0.9955801,0.002145762,0.0002852639,0.0003207173,0.001262861,0.0004051428],"domain_scores_gemma":[0.9784659,0.010291,0.003122608,0.002861198,0.003887768,0.001371469],"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":[0.0003482508,0.002192086,0.1655134,0.0006475769,0.00004703876,0.0005004903,0.02864446,0.001198048,0.02918243,0.01845358,0.003421034,0.7498515],"study_design_scores_gemma":[0.0001138156,0.004507151,0.671939,0.0009813958,0.0001802277,0.001085365,0.03460271,0.009104725,0.1166295,0.02915301,0.131534,0.0001689679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9595026,0.0001372955,0.01518561,0.0009034458,0.00003283357,0.0002476614,0.00004953067,0.0002304923,0.02371052],"genre_scores_gemma":[0.9843131,0.00006254752,0.01075739,0.0001180457,0.0000201837,0.00008062518,0.00005322325,0.00002689979,0.004568021],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005736398,"threshold_uncertainty_score":0.03033733,"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."}}