{"id":"W2275137739","doi":"","title":"Summative overview of the ATUAV project: Advanced Tools for User-Adaptive Information Visualization","year":2014,"lang":"en","type":"article","venue":"International Conference on Human-Computer Interaction","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Summative assessment; Computer science; Visualization; Information visualization; Human–computer interaction; Software engineering; Multimedia; Formative assessment; Data mining; Mathematics education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02314252,0.002487669,0.001104783,0.002523004,0.005079389,0.007157348,0.003796782,0.004461354,0.02996271],"category_scores_gemma":[0.01834766,0.0004930259,0.001525297,0.001545918,0.001980797,0.004210829,0.01463028,0.006139969,0.01400656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002400482,"about_ca_system_score_gemma":0.007412421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00640817,"about_ca_topic_score_gemma":0.01282054,"domain_scores_codex":[0.9895359,0.003922242,0.0003564925,0.001158943,0.003496243,0.00153019],"domain_scores_gemma":[0.9765608,0.001953421,0.0003768265,0.001768265,0.01331639,0.006024324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006846627,0.0007111205,0.001393549,0.001217466,0.00009832236,0.0008169058,0.005344094,0.001548981,0.01556121,0.01104609,0.7699607,0.1916168],"study_design_scores_gemma":[0.00009772533,0.0005566334,0.002272045,0.0006141111,0.00005321596,0.0003695773,0.002544997,0.001851619,0.01330605,0.006953155,0.9712709,0.0001101753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05222889,0.03757275,0.3984362,0.1430105,0.1738051,0.01086942,0.01180747,0.01409854,0.1581711],"genre_scores_gemma":[0.2218792,0.01860421,0.1927758,0.01952824,0.03688357,0.009542732,0.03241735,0.01109881,0.4572702],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02996271,"threshold_uncertainty_score":0.1223908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1818161236573962,"score_gpt":0.4268710507768834,"score_spread":0.2450549271194872,"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."}}