{"id":"W2128693633","doi":"10.1117/12.403811","title":"&lt;title&gt;Image indexing in the JPEG2000 framework&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Search engine indexing; JPEG 2000; Computer science; Artificial intelligence; Histogram; Wavelet; Image compression; Data compression; Wavelet transform; Computer vision; Database index; Image retrieval; Image processing; Image (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004555486,0.0001498139,0.000164144,0.00006544426,0.00005767604,0.0001761239,0.001233096,0.0001312998,0.0001414186],"category_scores_gemma":[0.0001831374,0.0001095102,0.0002295905,0.0003953186,0.0001311535,0.0003598427,0.00008170689,0.0002744607,0.00003693754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006923698,"about_ca_system_score_gemma":0.00002870727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001672954,"about_ca_topic_score_gemma":2.953731e-8,"domain_scores_codex":[0.9987648,2.834253e-8,0.0003196487,0.000230252,0.0004641597,0.0002210738],"domain_scores_gemma":[0.999318,0.00009009067,0.000114452,0.00007645062,0.0003591365,0.00004184305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007585193,0.00005478046,0.00001839164,0.00006673702,0.0000365475,1.462941e-7,0.0002054363,0.00000250671,0.04471233,0.9374034,0.009791864,0.007700318],"study_design_scores_gemma":[0.0009332758,0.0003677199,0.001790893,0.0007806462,0.00009428481,0.00005947751,0.0004585713,0.106146,0.1323223,0.05862216,0.6973847,0.00103999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7562464,0.0003979391,0.005578795,0.009580637,0.0003593409,0.0007224232,0.00002138446,0.0003381714,0.2267549],"genre_scores_gemma":[0.4037479,0.0007611617,0.5877638,0.001075015,0.0009231792,0.0002205953,0.000007748818,0.00008785921,0.005412687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8787812,"threshold_uncertainty_score":0.4465697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120608093536973,"score_gpt":0.2377584035661837,"score_spread":0.226552322630814,"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."}}