{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004550937,0.0007810686,0.000412598,0.0008133072,0.0001992298,0.0005324985,0.0007367992,0.0004632617,0.0009429722],"category_scores_gemma":[0.001019014,0.0002621708,0.000422498,0.0006800079,0.0002930248,0.0009070449,0.0005030715,0.0007038782,0.0004029165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411623,"about_ca_system_score_gemma":0.0004736789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005976136,"about_ca_topic_score_gemma":0.007527073,"domain_scores_codex":[0.9997526,0.0000369368,0.00001237362,0.00009051083,0.00007332909,0.00003432234],"domain_scores_gemma":[0.9997109,0.00006271848,0.00003772028,0.00004962207,0.0001256897,0.00001324825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003632099,0.0002340294,0.004685478,0.0001852973,0.0001240122,0.0001240429,0.00007351172,0.4005201,0.06230257,0.002547737,0.002813549,0.5260264],"study_design_scores_gemma":[0.000003424605,0.00001552239,0.0007914492,0.00000474761,0.00000855626,0.0000184069,0.000009550852,0.989482,0.008733221,0.0005141093,0.0004121811,0.000006827138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201176,0.0004893797,0.8744138,0.0001503387,0.00007871776,0.00005398606,0.0003757911,0.001991396,0.002328973],"genre_scores_gemma":[0.7513314,0.0005369737,0.2431087,0.0001275606,0.00004544252,0.0000802576,0.001488159,0.0001145753,0.003166943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005976136,"threshold_uncertainty_score":0.01188272,"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."}}