{"id":"W3148065246","doi":"10.1007/978-3-030-96731-4_9","title":"StreamTable: An Area Proportional Visualization for Tables with Flowing Streams","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"STREAMS; Rectangle; Row; Computer science; Visualization; Bounding overwatch; Minimum bounding box; Intersection (aeronautics); Geometry; Algorithm; Combinatorics; Mathematics; Artificial intelligence; Image (mathematics); Cartography; Database","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":[0.001034373,0.002345524,0.001056028,0.003273407,0.0007654651,0.004048777,0.002237742,0.001082808,0.09064038],"category_scores_gemma":[0.005106423,0.0009653217,0.001104019,0.003651636,0.0003080868,0.003402847,0.002651093,0.001665583,0.01187327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670162,"about_ca_system_score_gemma":0.001119067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004382911,"about_ca_topic_score_gemma":0.00575973,"domain_scores_codex":[0.9994522,0.00007733639,0.00006243993,0.00008722214,0.0002676035,0.00005318934],"domain_scores_gemma":[0.9980324,0.0009591819,0.00009413543,0.0002532709,0.0004728105,0.0001882866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001053012,0.000175281,0.001596671,0.001753167,0.0001859192,0.0004231754,0.0007701821,0.007660849,0.01746147,0.01493508,0.4458339,0.5081514],"study_design_scores_gemma":[0.0007695421,0.0002386201,0.002525492,0.0007092123,0.0002626766,0.001023593,0.0005145863,0.2567699,0.05433005,0.05488526,0.6276243,0.0003467467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005690399,0.001107985,0.7132732,0.0007159361,0.0008374955,0.0004512804,0.02621951,0.2384191,0.01328518],"genre_scores_gemma":[0.0600994,0.00227633,0.8507139,0.0007258288,0.0003869716,0.001051069,0.02567033,0.03993179,0.01914437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09064038,"threshold_uncertainty_score":0.3032223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470293285722995,"score_gpt":0.2855390609080382,"score_spread":0.2608361280508082,"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."}}