{"id":"W2130247386","doi":"10.1109/tvcg.2010.194","title":"SparkClouds: Visualizing Trends in Tag Clouds","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tag cloud; Computer science; Cloud computing; Visualization; Data visualization; Bar chart; Information retrieval; Data science; World Wide Web; Artificial intelligence","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":[0.0003544037,0.000274876,0.0002566205,0.001275298,0.0002671764,0.0004095588,0.0004882325,0.0001858009,0.00005455057],"category_scores_gemma":[0.000004179417,0.0002852775,0.0001016358,0.002567295,0.0001051538,0.0006221366,0.00001227561,0.0003986575,0.00001601252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797632,"about_ca_system_score_gemma":0.00004010577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003771817,"about_ca_topic_score_gemma":0.0002775691,"domain_scores_codex":[0.9981124,0.0001193185,0.0004727815,0.0005957755,0.0003740157,0.000325642],"domain_scores_gemma":[0.9989755,0.00008341655,0.0001173834,0.0005117405,0.0001167817,0.0001951518],"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":[0.000008524997,0.0004155192,0.0003082036,0.00001769023,0.00002360176,0.000009112951,0.0008171798,0.0003324977,0.0000945018,0.9597709,0.0004643859,0.03773784],"study_design_scores_gemma":[0.000736727,0.0001366224,0.001054972,0.00003183763,0.00001277324,0.00002318594,0.00002373425,0.9872137,0.001505008,0.0007701113,0.008124984,0.0003663508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0157946,0.00001051494,0.982212,0.0001215969,0.001187969,0.0001015454,0.00001163656,0.0003106091,0.0002495482],"genre_scores_gemma":[0.9950026,0.0001754455,0.002437744,0.002051048,0.00009885865,0.00001440775,0.00002825355,0.00002905063,0.0001626088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868812,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122277414727932,"score_gpt":0.3008814098035279,"score_spread":0.2796586356562486,"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."}}