{"id":"W4382517459","doi":"10.1145/3587103.3594167","title":"Effective Use of Open Educational Resources in Computer Science Education: A Query to Inform Open Textbook Development","year":2023,"lang":"en","type":"article","venue":"","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Open educational resources; Computer science; Educational resources; Open education; Preference; Mathematics education; Open science; Science education; Open university; Educational technology; Multimedia; Data science; World Wide Web; Distance education; Pedagogy; Psychology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001402808,0.0001097417,0.0001657417,0.0006806512,0.0003197481,0.002043272,0.003542444,0.00002505058,0.0001531154],"category_scores_gemma":[0.0002253034,0.0001010814,0.00001580971,0.003509489,0.00007235831,0.003542004,0.004412147,0.0001014172,0.0006434561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233741,"about_ca_system_score_gemma":0.004990364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009459885,"about_ca_topic_score_gemma":0.000246689,"domain_scores_codex":[0.9985203,0.00006563598,0.0003406012,0.0004508962,0.0003553911,0.0002671759],"domain_scores_gemma":[0.9987149,0.0002837983,0.0001050562,0.0004130306,0.0003088894,0.0001743039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002560272,0.0006109461,0.04338505,0.00003538259,0.00001650749,8.906733e-7,0.05805763,0.003075315,0.0002281371,0.2374909,0.03451212,0.6225616],"study_design_scores_gemma":[0.0002370912,0.0000787048,0.8390336,0.0001610847,9.819673e-7,0.000005021663,0.001583508,0.004140461,0.001153193,0.0006885927,0.1526517,0.0002660573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8223789,0.000009437571,0.01665478,0.02058819,0.001769315,0.00420969,0.000001077891,0.0001331232,0.1342555],"genre_scores_gemma":[0.6321729,0.000001761078,0.3404357,0.003164636,0.00006697284,0.000498854,0.000009869006,0.00001006661,0.02363928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7956485,"threshold_uncertainty_score":0.9989927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176653584696494,"score_gpt":0.3511719870305631,"score_spread":0.3094054511835982,"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."}}