{"id":"W4321192176","doi":"10.1109/icce56470.2023.10043462","title":"Spectral Estimation from Actual Color Images based on Deep Neural Network","year":2023,"lang":"en","type":"article","venue":"2023 IEEE International Conference on Consumer Electronics (ICCE)","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"RGB color model; Artificial intelligence; Computer science; Artificial neural network; Residual; Computer vision; Pattern recognition (psychology); Spectral power distribution; Algorithm","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001755026,0.0002541704,0.000202126,0.0001546361,0.0002500993,0.0002560722,0.0005932616,0.00005955101,0.002672052],"category_scores_gemma":[0.00001967638,0.0002535509,0.0001366019,0.0004709535,0.00009848487,0.0001860119,0.00004400955,0.0003908472,0.001627499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123187,"about_ca_system_score_gemma":0.0002692724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814193,"about_ca_topic_score_gemma":0.0001408683,"domain_scores_codex":[0.9980734,0.00005230103,0.0003032479,0.0005351902,0.0004890746,0.0005467847],"domain_scores_gemma":[0.9988866,0.0003559763,0.0001595478,0.0003234151,0.0001615748,0.0001128891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004621545,0.000654166,0.01170231,0.000006501667,0.0004536263,0.00001798151,0.0002735747,0.3751528,0.01411434,0.3740082,0.03983677,0.1833176],"study_design_scores_gemma":[0.0005201488,0.0001387066,0.004211001,0.00002206965,0.00002839689,3.586134e-7,0.00008306226,0.96757,0.00375347,0.02081803,0.002566659,0.0002881093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358762,0.00003001664,0.02157348,0.008716992,0.001620221,0.0007045612,0.0005298844,0.0003184382,0.03063021],"genre_scores_gemma":[0.9967901,0.00001418287,0.0004374811,0.000367663,0.0004358866,0.0001695732,0.000737526,0.00002242738,0.001025172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5924172,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281493103041316,"score_gpt":0.3108236299802413,"score_spread":0.2780086989498282,"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."}}