{"id":"W4321598405","doi":"10.3389/fcomp.2023.1113936","title":"Open curriculum for teaching digital accessibility","year":2023,"lang":"en","type":"article","venue":"Frontiers in Computer Science","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Government of Ontario","keywords":"Curriculum; Web accessibility; Government (linguistics); Open educational resources; Open education; Digital content; Digital literacy; Inclusion (mineral); Reuse; World Wide Web; Public relations; Computer science; Medical education; Engineering; Pedagogy; Political science; Psychology; The Internet; Web standards; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005086276,0.0001387917,0.0002505677,0.0002989155,0.001058823,0.004095834,0.004478798,0.00005588822,0.000006367712],"category_scores_gemma":[0.001661387,0.0001322693,0.0000856409,0.00196609,0.002491879,0.008493475,0.001816759,0.0001444,0.00002040678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004499999,"about_ca_system_score_gemma":0.0005994004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004816389,"about_ca_topic_score_gemma":0.0001832526,"domain_scores_codex":[0.9972319,0.00007840871,0.0003481908,0.000871656,0.0006577002,0.0008121214],"domain_scores_gemma":[0.9988739,0.0002131467,0.00009125096,0.0004835099,0.0001385635,0.0001995647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001127466,0.0002119508,0.4945166,0.00003217534,0.000004705528,0.000002100141,0.009433449,0.0001380843,0.000001781619,0.01834375,0.01580649,0.4614977],"study_design_scores_gemma":[0.0009506801,0.0001726402,0.08460875,0.0001404342,0.000006178752,8.107137e-7,0.01999955,0.1228435,0.00003879359,0.7226717,0.0476843,0.0008826443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.815112,0.00002316498,0.142776,0.001640862,0.005239921,0.001648897,0.00004459974,0.0003993028,0.03311524],"genre_scores_gemma":[0.9560308,0.000002521996,0.04296205,0.0001087124,0.0001949523,0.00008305411,0.000008424496,0.000009648285,0.0005998636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.704328,"threshold_uncertainty_score":0.996938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160356663744036,"score_gpt":0.3658467035685206,"score_spread":0.3342431369310802,"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."}}