{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001659705,0.0005798106,0.0003722203,0.00222149,0.004767159,0.004100585,0.001632567,0.00167684,0.08310203],"category_scores_gemma":[0.004412733,0.0003746181,0.0005764213,0.002193173,0.003155923,0.002406579,0.005188686,0.002049835,0.01409325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02892454,"about_ca_system_score_gemma":0.06677196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3658668,"about_ca_topic_score_gemma":0.7250342,"domain_scores_codex":[0.9983994,0.0001190046,0.00005747306,0.0001779873,0.0008787644,0.0003673839],"domain_scores_gemma":[0.9953319,0.0003316877,0.0001857182,0.0003093008,0.001027399,0.002814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004786654,0.0004190266,0.003477732,0.0004874471,0.000005913291,0.0002486688,0.006860612,0.0003430481,0.003078207,0.09718561,0.4597714,0.4280746],"study_design_scores_gemma":[0.000007189964,0.00001983759,0.00312566,0.0001484293,0.000002617749,0.00005762807,0.0006549834,0.00007134334,0.0002400448,0.004044386,0.9916197,0.000008015349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02192865,0.006431386,0.03020321,0.02485887,0.005901383,0.000954754,0.003737508,0.002179565,0.9038047],"genre_scores_gemma":[0.1237577,0.007710133,0.05583787,0.008130455,0.001038419,0.0008625618,0.003358316,0.0009124376,0.7983921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3658668,"threshold_uncertainty_score":0.7274743,"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."}}