{"id":"W2895228715","doi":"10.2352/cic.2015.23.1.art00014","title":"Robust Chroma and Lightness Descriptors","year":2015,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Categorization, perception, and language","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Studies; University of British Columbia","funders":"","keywords":"Standard illuminant; Lightness; Mathematics; Artificial intelligence; Pattern recognition (psychology); Computer vision; Computer 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":[0.0001253287,0.0001024587,0.0001177623,0.00005679205,0.00008945909,0.0001076364,0.00007074689,0.00004002128,0.0005142195],"category_scores_gemma":[0.00002971246,0.00009334112,0.00001162522,0.00007819375,0.0001629906,0.0001515464,0.00003403078,0.00006667602,0.00004354208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590689,"about_ca_system_score_gemma":0.00004519569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003700158,"about_ca_topic_score_gemma":0.00007199152,"domain_scores_codex":[0.9993673,0.00004385753,0.0001091701,0.0002450241,0.00006810309,0.0001665707],"domain_scores_gemma":[0.999564,0.00001940403,0.00003362462,0.0001372247,0.0001111568,0.0001345884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002456275,0.0002901309,0.5714254,0.0001043046,0.00008797611,0.0001180422,0.146246,0.000007188279,0.01421242,0.1346789,0.05909461,0.0734893],"study_design_scores_gemma":[0.002371009,0.0001720891,0.921495,0.00004484197,0.00007403389,0.0002938529,0.02089224,0.003113483,0.0002685398,0.001758202,0.04893048,0.000586213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691867,0.001081884,0.004574742,0.0004787848,0.0006405619,0.000112304,0.000005396153,0.00007907309,0.02384056],"genre_scores_gemma":[0.9964246,0.00003627143,0.0001439256,0.000208746,0.0001189192,0.00001298615,0.00001502739,0.00001019644,0.003029287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3500696,"threshold_uncertainty_score":0.5630342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08235764575415004,"score_gpt":0.2935960342998326,"score_spread":0.2112383885456826,"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."}}