{"id":"W2950514474","doi":"10.25039/x46.2019.pp01","title":"SPECTRAL CHARACTERISTICS INFLUENCING THE METAMERIC UNCERTAINTY INDEX","year":2019,"lang":"en","type":"article","venue":"PROCEEDINGS OF the 29th Quadrennial Session of the CIE","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Luminous efficacy; Fidelity; High fidelity; Computer science; Radiation; Bandwidth (computing); Spectral efficiency; Index (typography); Spectral index; Value (mathematics); Optics; Mathematics; Physics; Telecommunications; Statistics; Acoustics; Spectral line; Materials science","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":[0.0002958469,0.0001226577,0.000199329,0.00002318153,0.0002622708,0.00004028383,0.001173787,0.00002932312,0.0001838464],"category_scores_gemma":[0.00002965908,0.00005567275,0.0002018957,0.0005469272,0.0002156915,0.0001012701,0.0003677678,0.0002224894,0.0000135299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002481296,"about_ca_system_score_gemma":0.00008274755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002984133,"about_ca_topic_score_gemma":0.000001755798,"domain_scores_codex":[0.9989792,0.00001169162,0.0002926847,0.0001752938,0.0003375949,0.0002035167],"domain_scores_gemma":[0.9989216,0.00006067101,0.0005740434,0.000260768,0.0001475892,0.00003532174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000522125,0.0001701767,0.6413543,0.00005214353,0.00006941103,1.279512e-8,0.001692807,0.0003452283,0.3079092,0.0375235,0.001603357,0.009227568],"study_design_scores_gemma":[0.0006344276,0.00008568317,0.8164523,0.0003224665,0.0001612879,0.000001952702,0.003929619,0.004649361,0.146989,0.01926131,0.007154023,0.0003586384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935426,0.000008089643,0.00001283839,0.001311538,0.0002306185,0.0003717195,0.00001813179,0.00000920956,0.004495265],"genre_scores_gemma":[0.9989529,0.000001202666,0.00003523848,0.00009610783,0.0001484591,0.0000171234,8.16162e-7,0.000007980761,0.0007401724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1750979,"threshold_uncertainty_score":0.2270269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0071085029090724,"score_gpt":0.235936214507094,"score_spread":0.2288277115980216,"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."}}