{"id":"W2395214674","doi":"10.2352/cic.2013.21.1.art00013","title":"A Robust Hue Descriptor","year":2013,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Categorization, perception, and language","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hue; Artificial intelligence; Computer science; Computer vision; Pattern recognition (psychology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006188962,0.00009893436,0.0001039502,0.00005334591,0.0001079335,0.0001374437,0.00009590358,0.00003651634,0.01375233],"category_scores_gemma":[0.0000213629,0.00009030008,0.00002027715,0.00007621798,0.0001118753,0.000187548,0.00002561917,0.00007788665,0.0006335838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307289,"about_ca_system_score_gemma":0.00002607657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053551,"about_ca_topic_score_gemma":0.00007390608,"domain_scores_codex":[0.999352,0.00003792141,0.0001206309,0.0002335813,0.00005738523,0.0001984529],"domain_scores_gemma":[0.9995727,0.00002439487,0.00003361694,0.0001716198,0.0001163946,0.00008127333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000625738,0.0003243106,0.4387949,0.00007904598,0.00008166747,0.00003290228,0.05489356,0.000005138514,0.04460996,0.09811665,0.2246157,0.1383835],"study_design_scores_gemma":[0.0007479837,0.00005439282,0.9658831,0.000020397,0.0000272627,0.0000610012,0.006925007,0.003152769,0.00008492737,0.001393665,0.0213287,0.0003207932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176425,0.0003619523,0.01493908,0.0008515444,0.0006409591,0.000270388,0.000006287555,0.0001304349,0.06515682],"genre_scores_gemma":[0.9898805,0.0000232432,0.0002796815,0.0006347508,0.0001167694,0.00005804014,0.00001709417,0.00001090874,0.008978995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5270882,"threshold_uncertainty_score":0.9871492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662348407336116,"score_gpt":0.2646516954574537,"score_spread":0.2280282113840925,"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."}}