{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001701726,0.0002261613,0.0003212748,0.0005134365,0.00001274573,0.00003799423,0.001929271,0.0002514468,0.0001374187],"category_scores_gemma":[0.0001620318,0.000221023,0.00004112563,0.0007394175,0.00004087638,0.0001759902,0.0006969959,0.0001180454,0.0000388784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669568,"about_ca_system_score_gemma":0.0000938581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006973261,"about_ca_topic_score_gemma":0.00001212454,"domain_scores_codex":[0.9983377,0.00001678304,0.0004029325,0.0004621097,0.0005484498,0.0002319539],"domain_scores_gemma":[0.9983841,0.00004124333,0.0002023256,0.001211526,0.00002498961,0.000135814],"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":[1.643878e-7,0.00006214593,0.000007759537,0.0001779443,0.00002657743,0.00000850846,0.000009561189,0.00003549692,0.000009626899,0.01178691,0.9824101,0.005465206],"study_design_scores_gemma":[0.0001083941,0.00001198925,0.000007176342,0.0002682411,0.00001391513,0.000001872721,7.543404e-7,0.2230704,0.000002579217,0.00001577031,0.776318,0.0001808895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.886147e-7,0.0006512082,0.8728883,0.00004107611,0.0008251293,0.0000891821,0.0004152266,0.0004756416,0.124614],"genre_scores_gemma":[0.0001629356,0.01584017,0.3094906,0.000401215,0.005454661,0.00003100653,0.03275947,0.001529495,0.6343305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5633977,"threshold_uncertainty_score":0.9013057,"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."}}