{"id":"W2945063489","doi":"","title":"A Constructive Classroom Exercise for Teaching InfoVis","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Consumer Product Safety Commission","keywords":"Visualization; Computer science; Constructive; Class (philosophy); Software deployment; Human–computer interaction; Multimedia; Mathematics education; Artificial intelligence; Process (computing); Software engineering; Psychology; Programming language","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":[0.001919828,0.001822398,0.0008659826,0.001154451,0.002554134,0.004043583,0.002242608,0.002447566,0.04398126],"category_scores_gemma":[0.009523911,0.0003625491,0.0005771217,0.0006883797,0.001447595,0.002763724,0.005060588,0.003158836,0.01211422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362425,"about_ca_system_score_gemma":0.001632459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006081423,"about_ca_topic_score_gemma":0.001976394,"domain_scores_codex":[0.9981647,0.0009106408,0.00005778266,0.0002823749,0.0003810515,0.0002034132],"domain_scores_gemma":[0.9941093,0.003262045,0.0001357425,0.0005698313,0.0006554297,0.001267754],"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":[0.0009715256,0.006481369,0.001539605,0.001710322,0.00004274529,0.001550033,0.03839865,0.004486572,0.03986105,0.1133568,0.3218996,0.4697017],"study_design_scores_gemma":[0.00033998,0.0006108673,0.002159241,0.0008499968,0.00004343924,0.0008028183,0.01652401,0.008617844,0.02342523,0.09458168,0.851945,0.00009983753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1089442,0.0009443182,0.4516672,0.0144318,0.004567856,0.002145342,0.001530323,0.01605728,0.3997116],"genre_scores_gemma":[0.3475635,0.0007960722,0.4577219,0.002362713,0.0007291711,0.00257062,0.001349478,0.002919464,0.183987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04398126,"threshold_uncertainty_score":0.147132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535891611572719,"score_gpt":0.2660995136534438,"score_spread":0.2507405975377166,"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."}}