{"id":"W2337186434","doi":"10.1007/s40846-016-0120-5","title":"Efficient Color Reproduction Algorithm for Endoscopic Images Based on Dynamic Color Map","year":2016,"lang":"en","type":"article","venue":"Journal of Medical and Biological Engineering","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Grayscale; Artificial intelligence; Computer vision; Color image; Computer science; Color balance; Color space; Hue; Color histogram; Similarity (geometry); Color quantization; Histogram equalization; Pattern recognition (psychology); Image processing; Image (mathematics)","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":[0.001061238,0.00009950549,0.0001877048,0.00008693381,0.0000333256,0.00002449991,0.0003184274,0.00009933228,0.00001490137],"category_scores_gemma":[0.0005855697,0.00004842364,0.00006118467,0.00007691278,0.00005265067,0.00005084297,0.00006918427,0.0001373129,0.00000145609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005158405,"about_ca_system_score_gemma":0.00003051835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.153807e-7,"about_ca_topic_score_gemma":3.02221e-8,"domain_scores_codex":[0.9989714,0.00002722185,0.0002764021,0.0002016492,0.0003401873,0.0001831647],"domain_scores_gemma":[0.9992567,0.0003331644,0.0001019885,0.0001123904,0.00007384575,0.0001218665],"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":[0.00004781669,0.0002511458,0.00003732977,0.00005046598,0.00002531729,0.0001051219,0.00001298866,0.0005698721,0.08465198,0.00110078,0.00064978,0.9124974],"study_design_scores_gemma":[0.001130138,0.002184567,0.0008825102,0.0003627149,0.000006199934,0.00006221321,0.00000271105,0.9555836,0.03501545,0.0001349884,0.004501619,0.0001332371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03135581,0.0001839609,0.9605626,0.007169894,0.0005254325,0.0001238101,0.000002135651,0.00007168522,0.000004618053],"genre_scores_gemma":[0.6852018,0.0001405796,0.3140231,0.0002749165,0.0002928122,0.00002199498,5.432748e-7,0.00000589674,0.00003829574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9550138,"threshold_uncertainty_score":0.1974659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009320791514561947,"score_gpt":0.2473032243846294,"score_spread":0.2379824328700675,"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."}}