{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004150855,0.0003366212,0.0004113472,0.000266889,0.0004433712,0.0009118865,0.002765067,0.0002599458,0.00003459449],"category_scores_gemma":[0.001951668,0.000317295,0.0002463445,0.0002359375,0.0002512159,0.0004493251,0.002745154,0.0004516561,0.00004179858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208236,"about_ca_system_score_gemma":0.0004457597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009519411,"about_ca_topic_score_gemma":0.00009973787,"domain_scores_codex":[0.9957384,0.001993631,0.000558917,0.0009207653,0.0004049467,0.0003833271],"domain_scores_gemma":[0.9931121,0.001446527,0.0006256639,0.002605915,0.001997959,0.0002118664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004476706,0.0001693429,0.0002878579,0.0001137816,0.00005107577,0.000001423411,0.004407932,0.000009599562,0.0001923076,0.8714339,0.004798661,0.1185296],"study_design_scores_gemma":[0.002913426,0.000001696208,0.0007796033,0.01026088,0.000182222,0.00002510608,0.0004239775,0.4188906,0.03151887,0.2806422,0.252105,0.002256443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009434502,0.0002093705,0.9642088,0.007489237,0.0004502126,0.0005324195,0.0002181143,0.0003753414,0.02557299],"genre_scores_gemma":[0.2596953,0.0005660257,0.7172922,0.0005672998,0.0001113687,0.0002699688,0.001008348,0.00009429431,0.02039514],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5907918,"threshold_uncertainty_score":0.9999279,"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."}}