{"id":"W4232406120","doi":"10.1002/9780471740360.ebs0337","title":"Data Visualization","year":2006,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Biomedical Engineering","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Visualization; Computer science; Statistical graphics; Information visualization; Data visualization; Scientific visualization; Graphics; Computer graphics; Information retrieval; Process (computing); Data science; Data mining; Computer graphics (images)","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":[0.007162121,0.002064415,0.00159833,0.009681768,0.001540706,0.01066837,0.002579654,0.001622917,0.1226702],"category_scores_gemma":[0.0243655,0.0008470168,0.002050653,0.008979117,0.0007138501,0.004644372,0.005611061,0.002135102,0.0496666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270641,"about_ca_system_score_gemma":0.003283609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736414,"about_ca_topic_score_gemma":0.00219733,"domain_scores_codex":[0.9945391,0.00141513,0.000650426,0.0008898955,0.002286715,0.0002186977],"domain_scores_gemma":[0.9875072,0.004088494,0.0005954016,0.003222886,0.00408907,0.0004968955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002404033,0.00006708322,0.001615494,0.00140439,0.0001724103,0.0002713586,0.000843544,0.00388402,0.002195768,0.03091768,0.6281474,0.3302405],"study_design_scores_gemma":[0.00007655943,0.00004000533,0.0009608939,0.0005041164,0.00006573347,0.0002632729,0.0003287595,0.01280654,0.003577026,0.02767221,0.9536277,0.00007711892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006906183,0.005605686,0.4618814,0.01109521,0.004755315,0.002411325,0.1457454,0.1550322,0.2065674],"genre_scores_gemma":[0.1032991,0.006575965,0.5938839,0.003291353,0.001322094,0.00374922,0.1472156,0.02711664,0.1135462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1226702,"threshold_uncertainty_score":0.4103727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250533192814465,"score_gpt":0.2669692050192574,"score_spread":0.2544638730911128,"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."}}