{"id":"W3036526101","doi":"10.24908/pceea.vi0.14183","title":"OPEN EDUCATIONAL RESOURCES IN UNDERGRADUATE OPEN EDUCATIONAL RESOURCES IN UNDERGRADUATE CHALLENGES","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo; Queen's University; University of British Columbia","funders":"","keywords":"Open educational resources; Open education; Educational resources; Engineering management; Knowledge management; Engineering ethics; Political science; Computer science; Engineering; Pedagogy; World Wide Web; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001213297,0.0002404691,0.0003100092,0.0005317492,0.0002698081,0.001339047,0.003731371,0.0001481578,0.00005695949],"category_scores_gemma":[0.002629866,0.0002582056,0.00006716323,0.001705288,0.00002721693,0.001677849,0.0005797642,0.0005108559,0.00004380146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597505,"about_ca_system_score_gemma":0.003338983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02091632,"about_ca_topic_score_gemma":0.02820316,"domain_scores_codex":[0.9977521,0.00006489577,0.0005775625,0.0005887448,0.0004897062,0.0005269513],"domain_scores_gemma":[0.9980764,0.0002314355,0.0005795423,0.0002132847,0.000457376,0.0004419003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000013214,0.0004735086,0.2088166,0.0002951208,0.0000905515,2.444367e-7,0.0339169,0.003444548,0.0003443465,0.6875588,0.06194502,0.003101136],"study_design_scores_gemma":[0.0007450575,0.00004916081,0.8238435,0.0004729555,0.00001804066,0.0000056473,0.005570747,0.006520253,0.000175209,0.01737116,0.1445568,0.0006715276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1048499,0.0003854518,0.00001011565,0.8219092,0.001247348,0.00107468,0.00000813046,0.00005097728,0.07046415],"genre_scores_gemma":[0.9901364,0.00008133867,0.003055461,0.001830525,0.0002547321,0.0002204686,0.000014315,0.00003465424,0.004372083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852866,"threshold_uncertainty_score":0.999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938731140547503,"score_gpt":0.2477513963604831,"score_spread":0.2283640849550081,"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."}}