{"id":"W1590626097","doi":"10.1002/9780470057339.vam048","title":"Multivariate Data Visualization","year":2001,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Visualization; Multivariate statistics; Computer science; Data visualization; Data science; Data mining; Multivariate analysis; Information visualization; Software; Information retrieval; Programming language; Machine learning","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":[0.002460211,0.001392157,0.00101313,0.004968821,0.0007471716,0.00572328,0.001304986,0.0009992064,0.05187677],"category_scores_gemma":[0.009995435,0.0004998454,0.001040743,0.005688736,0.0005245266,0.00298813,0.003164419,0.001485775,0.01068449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822079,"about_ca_system_score_gemma":0.0009052266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009865646,"about_ca_topic_score_gemma":0.0009317864,"domain_scores_codex":[0.9983499,0.0004892516,0.0001308053,0.000226632,0.0007231835,0.00008016681],"domain_scores_gemma":[0.9949611,0.002193323,0.0002852135,0.001115801,0.001250079,0.0001943096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002234508,0.00008890972,0.002026351,0.001236401,0.0001648931,0.0004306608,0.0007021365,0.01271482,0.01390366,0.07006913,0.2689442,0.6294954],"study_design_scores_gemma":[0.0001072842,0.00009857345,0.002756938,0.0006457455,0.0001218763,0.001511545,0.0004395416,0.1530048,0.02522988,0.1394998,0.6764255,0.0001585175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005789266,0.003249343,0.8928296,0.002999963,0.0007953044,0.0002972039,0.009815346,0.0460554,0.03816865],"genre_scores_gemma":[0.1335773,0.006892664,0.8012035,0.0009108791,0.0007149409,0.0006497358,0.01544468,0.008032856,0.03257337],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05187677,"threshold_uncertainty_score":0.1735451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390970113225279,"score_gpt":0.428352998599613,"score_spread":0.289255987277085,"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."}}