{"id":"W2028634151","doi":"10.1109/mcg.2012.37","title":"In Color Perception, Size Matters","year":2012,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visualization; Perception; Data visualization; Information visualization; Computer graphics (images); Human–computer interaction; Artificial intelligence; Computer vision","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":[0.002790442,0.0006918935,0.0005192923,0.0009796334,0.001530793,0.008260157,0.001170725,0.00224462,0.02084911],"category_scores_gemma":[0.01896163,0.0005142463,0.0005399323,0.001389704,0.007191769,0.01466881,0.002515494,0.00457019,0.005409655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131872,"about_ca_system_score_gemma":0.0007805325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191171,"about_ca_topic_score_gemma":0.001664747,"domain_scores_codex":[0.9976652,0.0007099819,0.0001237507,0.0005858304,0.000775704,0.0001395276],"domain_scores_gemma":[0.9923015,0.004585004,0.0005620592,0.0007859225,0.00129476,0.0004709275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002263094,0.0001256192,0.003920422,0.0008489564,0.0001047114,0.0002555219,0.003813497,0.001170377,0.01383349,0.695004,0.04267384,0.2380232],"study_design_scores_gemma":[0.00005295606,0.0001866177,0.009623422,0.0005124014,0.0001172192,0.001289758,0.003327908,0.002902078,0.007416285,0.7619859,0.2123928,0.0001927051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05580087,0.06763035,0.2986605,0.08014298,0.01876406,0.0001824062,0.0004787803,0.001449846,0.4768901],"genre_scores_gemma":[0.7322506,0.040473,0.09630112,0.02963488,0.005741066,0.0002158002,0.000279328,0.002933317,0.0921709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02084911,"threshold_uncertainty_score":0.06974721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717495251529688,"score_gpt":0.2855722356213999,"score_spread":0.2683972831061031,"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."}}