{"id":"W2603311713","doi":"10.24908/pceea.v0i0.6535","title":"INFORMATION VISUALISATION IN EDUCATION: A REVIEW OF CURRENT TOOLS AND PRACTICES","year":2017,"lang":"en","type":"review","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Variety (cybernetics); Visualization; Computer science; Data science; Creative visualization; Knowledge management; Work (physics); Information visualization; Data visualization; Engineering ethics; Human–computer interaction; Engineering; Data mining; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165237,0.0001818133,0.0005397376,0.0005642542,0.00009690832,0.0003119805,0.0007179914,0.0001601053,0.000002355306],"category_scores_gemma":[0.008043746,0.0001661212,0.0001279279,0.0006070794,0.00001324551,0.001497936,0.00006888178,0.0003714715,0.000003923577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218126,"about_ca_system_score_gemma":0.00526236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295211,"about_ca_topic_score_gemma":0.0003927008,"domain_scores_codex":[0.9986156,0.00002525796,0.0006949257,0.0001569828,0.0003383583,0.0001688861],"domain_scores_gemma":[0.9945629,0.0001123951,0.004192517,0.000219382,0.0008062826,0.0001065678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.62815e-8,0.00003507993,0.0005954223,0.05980562,0.00002732476,6.149737e-9,0.000324407,0.000002615386,1.540123e-7,0.01428648,0.00461741,0.9203054],"study_design_scores_gemma":[0.00003169826,0.000006154532,0.001152015,0.05429154,0.0001091157,0.000003233877,0.00002851452,0.0002999024,7.541822e-7,0.00009946177,0.9438252,0.0001524382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002488175,0.9939609,0.00001663328,0.003305102,0.001207539,0.0006024572,0.0000219555,0.00002193883,0.0008386303],"genre_scores_gemma":[0.0002755381,0.9983202,0.0008092362,0.0001011469,0.0001458156,0.00007920145,0.00005450703,0.00001206913,0.0002023076],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9392077,"threshold_uncertainty_score":0.9629695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0544249156362585,"score_gpt":0.3837372444074643,"score_spread":0.3293123287712058,"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."}}