{"id":"W1965292811","doi":"10.1002/j.2168-0159.2014.tb00140.x","title":"37.4: Improved Display Color Measurements with the WP214 Imaging Spectral Colorimeter","year":2014,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genia Photonics (Canada)","funders":"","keywords":"Colorimeter; Spectroradiometer; Color measurement; Computer science; Computer vision; Artificial intelligence; Optics; Reflectivity; Physics","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":[0.0002713519,0.000164888,0.0001928366,0.0000229692,0.0002178868,0.00005189121,0.0004741762,0.0000275768,0.00005734517],"category_scores_gemma":[0.000007756121,0.0001008383,0.0001133031,0.0002415866,0.0003332964,0.0001028521,0.00008217385,0.0001672429,0.00001507667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003661613,"about_ca_system_score_gemma":0.00005460042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009039473,"about_ca_topic_score_gemma":0.00004793898,"domain_scores_codex":[0.9988555,0.0000320707,0.0002124858,0.0003084203,0.0002722738,0.000319262],"domain_scores_gemma":[0.9991612,0.000116505,0.0001375175,0.0004334311,0.00006036267,0.00009095166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002564128,0.000113218,0.02602051,0.000003312877,0.00002075591,1.031678e-7,0.00003435714,0.00006555035,0.9655565,0.007707774,0.0002017547,0.0002505072],"study_design_scores_gemma":[0.0034277,0.001486975,0.2918145,0.0001293635,0.0005054713,0.000009395335,0.0008361433,0.0007393132,0.6189122,0.001084219,0.07949486,0.001559953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.437294,0.00001004999,0.0001951495,0.007000122,0.00008445197,0.0007159754,0.00001672035,0.00008362081,0.5545999],"genre_scores_gemma":[0.999164,7.594403e-7,0.0001392483,0.0001786446,0.0001063305,0.000147895,0.0000073103,0.0000146894,0.0002410999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.56187,"threshold_uncertainty_score":0.4112065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006759793960858007,"score_gpt":0.2276151747356351,"score_spread":0.2208553807747771,"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."}}