{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123424,0.0005507282,0.0008977893,0.00178167,0.0005879513,0.002046677,0.001578963,0.0007144882,0.009175737],"category_scores_gemma":[0.005048496,0.0002348672,0.0009096135,0.0017356,0.0008827258,0.002221437,0.00203978,0.0009834508,0.004077172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007990036,"about_ca_system_score_gemma":0.0008480488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287251,"about_ca_topic_score_gemma":0.001428234,"domain_scores_codex":[0.9986284,0.0001747733,0.00006912943,0.0003532963,0.0006608093,0.0001136101],"domain_scores_gemma":[0.9981264,0.0002701158,0.0001608353,0.0005709424,0.0007608287,0.0001107706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001151591,0.0002021372,0.003735847,0.000457989,0.0001962584,0.0002248597,0.0001916596,0.02415428,0.1054524,0.0466698,0.01456683,0.8029964],"study_design_scores_gemma":[0.000169985,0.0008476786,0.01436481,0.000143973,0.0002930024,0.002493762,0.0003716403,0.7369274,0.1240397,0.06515704,0.05479431,0.0003966576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04056199,0.0008755319,0.9390254,0.0001943191,0.0003403984,0.0002204878,0.001433823,0.005009983,0.01233795],"genre_scores_gemma":[0.5600958,0.0006227106,0.4247583,0.0003427016,0.0002269251,0.0002303169,0.003915504,0.00112462,0.008683057],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009175737,"threshold_uncertainty_score":0.03069592,"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."}}