{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003089711,0.0003033503,0.0005913239,0.0004519371,0.00002416779,0.00000633103,0.0006060381,0.0003660139,0.003188001],"category_scores_gemma":[0.005007872,0.0002830093,0.00005337662,0.0004945061,0.0001005015,0.00006794742,0.0003756776,0.0002049275,0.00005489446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002915339,"about_ca_system_score_gemma":0.00002424969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113126,"about_ca_topic_score_gemma":0.00001656105,"domain_scores_codex":[0.9981506,0.0001313724,0.00048614,0.0005491744,0.0004261904,0.0002565476],"domain_scores_gemma":[0.9967113,0.001208777,0.0005789301,0.001381784,0.00001477697,0.000104445],"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":[0.00001035737,0.0005846698,0.00022289,0.0005525218,0.0001468769,0.00004524246,0.00007605101,0.00001620084,0.00001734945,0.1005972,0.7099994,0.1877312],"study_design_scores_gemma":[0.0002668184,0.00003454314,0.00003066676,0.00008391161,0.0001508785,0.000002311663,0.00001147958,0.0008690853,0.000005121191,0.04756049,0.9506658,0.0003188455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001003969,0.0005570289,0.6144089,0.00000445975,0.0002175767,0.000216451,0.0005885829,0.00006493395,0.3839411],"genre_scores_gemma":[0.000005633125,0.00795401,0.589868,0.000009604838,0.0002517736,0.000006587569,0.0002631124,0.0003961805,0.4012451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2406664,"threshold_uncertainty_score":0.9999622,"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."}}