{"id":"W4210466707","doi":"10.21083/partnership.v16i2.6635","title":"Developing Universal Design for Learning Asynchronous Training in an Academic Library","year":2022,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Administration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"USable; Context (archaeology); Asynchronous communication; Computer science; Academic library; Best practice; Instructional design; Knowledge management; World Wide Web; Multimedia; Library science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01515313,0.000768376,0.0003479984,0.001430517,0.0009357057,0.002598642,0.002245875,0.001184411,0.004701568],"category_scores_gemma":[0.03283008,0.0006896704,0.0006985496,0.0004663119,0.001956422,0.003973957,0.004707845,0.001152677,0.001373783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710695,"about_ca_system_score_gemma":0.0027491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006723112,"about_ca_topic_score_gemma":0.001189139,"domain_scores_codex":[0.9923276,0.004773501,0.0005497519,0.0008880481,0.0008776212,0.0005834771],"domain_scores_gemma":[0.9842147,0.009575186,0.0008800757,0.002105242,0.002126752,0.001097949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005876404,0.003029326,0.01099008,0.002762323,0.00008277213,0.0006952142,0.04021149,0.01324313,0.03881828,0.03998966,0.005465173,0.8441249],"study_design_scores_gemma":[0.001310594,0.01167582,0.0271571,0.006003532,0.0005969106,0.002740924,0.03351118,0.1310213,0.1835651,0.07656604,0.5253566,0.0004949617],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1153269,0.0001546594,0.8617196,0.0004404812,0.00009749793,0.00273668,0.00007438233,0.004615761,0.014834],"genre_scores_gemma":[0.1959044,0.0001106967,0.7959756,0.0002384305,0.0000146064,0.002242319,0.0001189191,0.0003561327,0.005038914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01515313,"threshold_uncertainty_score":0.08013833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2067658383105879,"score_gpt":0.4036614097549904,"score_spread":0.1968955714444025,"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."}}