{"id":"W4401769117","doi":"10.18280/isi.290421","title":"Enhancing Color Selection in HSV Color Space","year":2024,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HSL and HSV; Color space; Selection (genetic algorithm); Space (punctuation); Computer science; Artificial intelligence; Computer vision; Virology; Biology; Virus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004350742,0.0006232891,0.0003112968,0.001060217,0.0002987093,0.001089024,0.0003416268,0.0002034533,0.003359186],"category_scores_gemma":[0.001334987,0.0001744691,0.0004586732,0.001077639,0.000238341,0.0007053138,0.0005404642,0.0004053651,0.001307932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415867,"about_ca_system_score_gemma":0.0003678167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003605739,"about_ca_topic_score_gemma":0.003253292,"domain_scores_codex":[0.999665,0.00007180655,0.00001337696,0.00004894807,0.0001560252,0.00004489928],"domain_scores_gemma":[0.9992301,0.0001198668,0.00003070804,0.00007919235,0.0005093694,0.00003073426],"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":[0.0004918236,0.000147679,0.002925543,0.0002860583,0.00004801129,0.000144119,0.0003507986,0.01376347,0.3308891,0.005385504,0.005039498,0.6405284],"study_design_scores_gemma":[0.000057614,0.0003732079,0.01785329,0.00006352365,0.0001504198,0.0009326635,0.0006317088,0.4081971,0.5148416,0.005334831,0.05139142,0.0001725893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1532264,0.000664708,0.8320349,0.000143106,0.0001672088,0.0001885957,0.0002926403,0.003519256,0.009763282],"genre_scores_gemma":[0.452012,0.0006943719,0.5395887,0.0001146098,0.00003600951,0.0001206071,0.0004192749,0.0004976257,0.006516771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003605739,"threshold_uncertainty_score":0.01123762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009188484866019246,"score_gpt":0.2478276306307213,"score_spread":0.238639145764702,"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."}}