{"id":"W1965655129","doi":"10.1016/s0031-3203(01)00163-7","title":"Illumination color covariant locale-based visual object retrieval","year":2002,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Raster graphics; Invariant (physics); Pattern recognition (psychology); 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":[0.0005176937,0.0004661323,0.0009645664,0.001139556,0.0003196562,0.0009259595,0.0009640198,0.0004830836,0.004150585],"category_scores_gemma":[0.0008401594,0.000206028,0.0005364129,0.00138226,0.0005244751,0.001077474,0.0008739425,0.0004816699,0.002300263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005628708,"about_ca_system_score_gemma":0.0005837264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002459988,"about_ca_topic_score_gemma":0.004919884,"domain_scores_codex":[0.9995973,0.00006443822,0.00001644389,0.00007429338,0.0001937707,0.00005386275],"domain_scores_gemma":[0.9995858,0.00003845852,0.00002755285,0.0001421991,0.0001764124,0.00002961501],"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":[0.0007513061,0.0001626094,0.0007671325,0.0002007789,0.0001027977,0.00007957416,0.00004024484,0.01060455,0.4242532,0.01151634,0.006120499,0.545401],"study_design_scores_gemma":[0.00009342448,0.000266899,0.007359419,0.00002545946,0.0002325951,0.0008031114,0.00008217059,0.5552285,0.4136969,0.007657272,0.01444932,0.0001049101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0678138,0.001944358,0.9212279,0.0002674004,0.0001461403,0.00009636649,0.0004630989,0.002413794,0.005627143],"genre_scores_gemma":[0.4881685,0.001806821,0.4854921,0.0003005896,0.0001617928,0.00008902564,0.00155374,0.0006021028,0.02182542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004150585,"threshold_uncertainty_score":0.01388514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762357600966133,"score_gpt":0.2560151593704964,"score_spread":0.2183915833608351,"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."}}