{"id":"W4409219403","doi":"10.32920/28745414","title":"Color Accuracy of Corporate Colors in Expanded Gamut Print Reproduction","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gamut; Reproduction; Color space; Computer vision; Mathematics; Artificial intelligence; Computer science; Biology; Ecology","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":[0.0003039185,0.000157245,0.0003011688,0.0001474646,0.00004567962,0.00003422914,0.0003506392,0.00007592365,0.0003042181],"category_scores_gemma":[0.00002709304,0.0001488429,0.0001025272,0.000415837,0.00008312539,0.00006817025,0.000507552,0.0002838024,0.00001595409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688004,"about_ca_system_score_gemma":0.0004691759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093266,"about_ca_topic_score_gemma":0.00008365086,"domain_scores_codex":[0.9986282,0.00003455766,0.000451652,0.0005918958,0.0001273366,0.0001663768],"domain_scores_gemma":[0.9985293,0.00007173736,0.0005118092,0.0007102746,0.0001389194,0.00003798367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001531637,0.002066344,0.2457858,0.0003416376,0.0001915384,0.000001744812,0.001877816,0.03636733,0.01577855,0.5866209,0.005417925,0.1053973],"study_design_scores_gemma":[0.002263005,0.0001925556,0.1814222,0.0007965599,0.0001946515,0.000001146231,0.004502823,0.02425334,0.3417718,0.4191542,0.02368525,0.001762549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962134,0.00001347424,0.003486281,0.0008446372,0.0002705968,0.001034779,0.00005312708,0.00003398983,0.03212913],"genre_scores_gemma":[0.9941631,0.000009686417,0.001262633,0.00001898735,0.00008526203,0.0004941741,0.00006921867,0.000004547756,0.003892386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3259932,"threshold_uncertainty_score":0.6069638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458570066663844,"score_gpt":0.320756651143143,"score_spread":0.2761709504765045,"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."}}