{"id":"W4232218046","doi":"10.1109/icce.1995.517928","title":"STORAGE AND RETRIEVAL OF COMPRESSED IMAGES","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Information retrieval; Computer vision","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":[0.0002718063,0.0005862273,0.0008010303,0.001581157,0.0005422638,0.00133069,0.001019165,0.0006159819,0.01445046],"category_scores_gemma":[0.002283056,0.0002960548,0.0003371181,0.00237372,0.0005065686,0.002100182,0.001215454,0.0005733073,0.003629345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583446,"about_ca_system_score_gemma":0.0006918098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475475,"about_ca_topic_score_gemma":0.00180163,"domain_scores_codex":[0.9996027,0.00004133771,0.00002853982,0.00004231518,0.0002057948,0.0000792803],"domain_scores_gemma":[0.9987851,0.0002413879,0.00008361426,0.0005031571,0.0003172404,0.00006964421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003019127,0.0003051262,0.001115437,0.0006279904,0.00008760954,0.00104224,0.000313321,0.00831905,0.2792438,0.0240484,0.04338588,0.6384919],"study_design_scores_gemma":[0.0006424503,0.001087048,0.007577311,0.0002859058,0.0002852971,0.004543654,0.0007902843,0.2380146,0.6171625,0.03591652,0.0935448,0.0001496277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4415523,0.01309089,0.4797305,0.003857806,0.002546704,0.000686917,0.006499911,0.008828891,0.04320611],"genre_scores_gemma":[0.7474489,0.004747934,0.1944773,0.0007203423,0.001534056,0.0004032235,0.009206867,0.0006175015,0.04084382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01445046,"threshold_uncertainty_score":0.04834163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133296095353451,"score_gpt":0.2499250796856385,"score_spread":0.2365954701502934,"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."}}