{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633045,0.00008728744,0.00009183227,0.0001123733,0.0001072686,0.0001224408,0.0003151832,0.00003972732,0.00001072078],"category_scores_gemma":[0.000001614707,0.00008639691,0.00002716015,0.0004858041,0.00005272774,0.0004481385,0.00008969483,0.00007420078,0.00005226471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001087686,"about_ca_system_score_gemma":0.00001118089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001101291,"about_ca_topic_score_gemma":0.000004570657,"domain_scores_codex":[0.9993111,0.0000246342,0.0001711175,0.0002025196,0.0001025942,0.0001879806],"domain_scores_gemma":[0.9994274,0.00007319844,0.00004522611,0.0002999882,0.00004069372,0.0001134933],"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":[4.497847e-7,0.0001710118,0.004325351,0.00001415008,0.000007190942,4.5533e-7,0.0003795183,0.00002710979,0.0001683551,0.9714209,0.01813851,0.005346966],"study_design_scores_gemma":[0.0005731744,0.00003833737,0.08485924,0.00001943644,0.00001417344,0.0000333971,0.0000437354,0.3174148,0.00007535698,0.01528848,0.5811321,0.0005078554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007054674,0.00003748932,0.9896848,0.002735599,0.0001586595,0.0001617232,0.000007030771,0.00006438658,0.00009562036],"genre_scores_gemma":[0.9301568,0.0002611519,0.04622217,0.02253035,0.0004982255,0.0001374027,0.00001803194,0.00001438556,0.0001614882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9561324,"threshold_uncertainty_score":0.3523164,"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."}}