{"id":"W2013989095","doi":"10.1016/j.csda.2008.11.033","title":"Escaping RGBland: Selecting colors for statistical graphics","year":2009,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":209,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Categorical variable; Hue; Graphics; Artificial intelligence; Computer science; Luminance; Color space; HSL and HSV; Statistical graphics; Coding (social sciences); Computer vision; Computer graphics (images); RGB color model; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003047983,0.003610413,0.001611468,0.00389942,0.001501065,0.00427172,0.002955339,0.001721227,0.05858846],"category_scores_gemma":[0.01375996,0.001492044,0.002607309,0.003275784,0.001032512,0.002926683,0.003800896,0.004017829,0.01109406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712215,"about_ca_system_score_gemma":0.001778279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482214,"about_ca_topic_score_gemma":0.007434127,"domain_scores_codex":[0.9987938,0.0004149387,0.0001101604,0.0001652251,0.0003453683,0.000170431],"domain_scores_gemma":[0.9942243,0.002892637,0.00020219,0.0009010597,0.001330162,0.0004497243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009921821,0.0002940303,0.003751898,0.001413247,0.0003206311,0.00138586,0.003174329,0.01257474,0.03826448,0.03340073,0.3484299,0.555998],"study_design_scores_gemma":[0.0009318612,0.0003651664,0.005809268,0.0007005858,0.0004173129,0.001419825,0.001294877,0.3447378,0.1169953,0.1406785,0.3859133,0.0007361954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004613213,0.0001782441,0.8810374,0.0004233437,0.0002709467,0.0002070142,0.002376851,0.1068922,0.004000806],"genre_scores_gemma":[0.03322105,0.0002859903,0.9163293,0.000405449,0.00009718849,0.0006738139,0.002193234,0.04308503,0.003708915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05858846,"threshold_uncertainty_score":0.195998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945520726689731,"score_gpt":0.3684192233551133,"score_spread":0.318964016088216,"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."}}