{"id":"W2100975021","doi":"10.1109/mcg.2009.70","title":"Motivation and Procrastination: Methods for Evaluating Pragmatic Casual Information Visualizations","year":2009,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Procrastination; Computer science; Casual; Information visualization; Visualization; Data visualization; Human–computer interaction; Data science; Artificial intelligence; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007294365,0.0001225336,0.0001256585,0.0001719184,0.0004229562,0.0003721688,0.000215728,0.00006260719,6.687005e-7],"category_scores_gemma":[0.0000650627,0.0001226824,0.00003142147,0.0004309056,0.00004584595,0.0009523461,0.0000399028,0.00007946607,0.000001457995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001482536,"about_ca_system_score_gemma":0.00003753625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000208572,"about_ca_topic_score_gemma":7.563176e-7,"domain_scores_codex":[0.9990485,0.0000873123,0.0003351184,0.000261861,0.0001235157,0.0001437446],"domain_scores_gemma":[0.998671,0.0004580375,0.0001520608,0.0002509542,0.0003969291,0.00007099778],"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":[0.000002067881,0.00006041935,0.00008484558,0.00005387957,0.000009335835,1.825279e-8,0.0007604626,0.0003087324,0.000295571,0.6508899,0.0001442525,0.3473905],"study_design_scores_gemma":[0.0002687577,0.0002098368,0.003960814,0.00001859219,0.00001485367,0.000009312093,0.00001230717,0.8759443,0.0003076993,0.1147666,0.004343984,0.0001429135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005031542,0.00005316872,0.9924133,0.001160234,0.00006992518,0.001097578,0.000006208629,0.0001302883,0.00003769886],"genre_scores_gemma":[0.2491982,0.00002437101,0.7492864,0.0009228825,0.00008247751,0.0004366143,0.0000358169,0.00000519722,0.000008079414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8756356,"threshold_uncertainty_score":0.5002841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04999669387059905,"score_gpt":0.3879654382667017,"score_spread":0.3379687443961026,"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."}}