{"id":"W3117811704","doi":"","title":"Inclusive Online Learning Environment: Fundamental Steps for Universal Design for Learning Incorporation in Higher Education","year":2016,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Universal Design for Learning; Online learning; Universal design; Computer science; Mathematics education; Pedagogy; Knowledge management; Psychology; Multimedia; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00157061,0.0003793018,0.0004106484,0.0003447076,0.0009359441,0.0002215212,0.0002685642,0.0002404387,0.001044017],"category_scores_gemma":[0.0002791402,0.0003836194,0.00007828366,0.0005258735,0.0002806106,0.0006551607,0.00007506151,0.0005930084,0.00004003882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734699,"about_ca_system_score_gemma":0.002195712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793445,"about_ca_topic_score_gemma":0.002717711,"domain_scores_codex":[0.995832,0.001152922,0.0007142221,0.0009172321,0.0007067827,0.0006768154],"domain_scores_gemma":[0.9974345,0.000736092,0.001034626,0.0002309133,0.0002244276,0.0003394358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001148742,0.002509412,0.3713071,0.000247017,0.00003941264,8.973997e-7,0.01034103,0.0008154267,0.0005632555,0.4045934,0.001985108,0.2064492],"study_design_scores_gemma":[0.002857715,0.001583831,0.2954013,0.0009888302,0.00004733673,8.489666e-7,0.0404904,0.0003629529,0.00006608883,0.0282613,0.6289253,0.001014181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182315,0.0007546834,0.002251499,0.2283509,0.00656263,0.009183825,0.00009203327,0.000438035,0.03413496],"genre_scores_gemma":[0.8412821,0.0005575017,0.001400187,0.0007149855,0.0005228051,0.0006454568,0.0001989354,0.00005230265,0.1546257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6269401,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248610398682685,"score_gpt":0.3471641531760338,"score_spread":0.2223031133077653,"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."}}