{"id":"W2149498267","doi":"10.1016/j.cviu.2007.12.006","title":"Adaptive image retrieval based on the spatial organization of colors","year":2008,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Image retrieval; Artificial intelligence; Earth mover's distance; Matching (statistics); Image (mathematics); Pattern recognition (psychology); Segmentation; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681937,0.0002671879,0.0004225194,0.0009253068,0.0002708595,0.0006461978,0.0006602093,0.0002662067,0.001518629],"category_scores_gemma":[0.001061168,0.0002140489,0.0003331914,0.001029068,0.0005812756,0.001018943,0.000417499,0.0004064241,0.0003692552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624523,"about_ca_system_score_gemma":0.0003604519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922688,"about_ca_topic_score_gemma":0.003098577,"domain_scores_codex":[0.9998428,0.00003406409,0.000005231316,0.00004243244,0.00005511428,0.00002038367],"domain_scores_gemma":[0.9995337,0.000151843,0.00004561618,0.00009229577,0.0001508659,0.00002577956],"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":[0.000637557,0.00009979725,0.001617726,0.0001878423,0.00009707094,0.00007998374,0.0001616989,0.05305473,0.4119157,0.03731961,0.003653146,0.4911751],"study_design_scores_gemma":[0.00009623662,0.0001875768,0.005278416,0.00001801374,0.0001306275,0.0004229847,0.00007148725,0.8737546,0.08602162,0.0263929,0.007556246,0.00006940594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06449649,0.001004297,0.9299311,0.0001634248,0.00007952483,0.00003567951,0.00007749203,0.0005434136,0.003668686],"genre_scores_gemma":[0.5201057,0.001253384,0.4727855,0.000152395,0.0001451606,0.00006967632,0.0001953839,0.0001986632,0.005094155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001922688,"threshold_uncertainty_score":0.005080342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143257408863407,"score_gpt":0.2496745138906994,"score_spread":0.2082419398020653,"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."}}