{"id":"W2374686563","doi":"","title":"Wavelet Multi—scale Features Clustering Based Image Retrieval","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Cluster analysis; Pattern recognition (psychology); Wavelet; Image retrieval; Image texture; Wavelet transform; Computer vision; Histogram; Image (mathematics); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001749743,0.0002184505,0.0001816549,0.0001644472,0.0002946738,0.0003799431,0.001121803,0.0001074692,0.00001252381],"category_scores_gemma":[8.262194e-7,0.0002143924,0.0001243099,0.0007102162,0.00008620876,0.0003278153,0.000261501,0.0001958183,0.0001522774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008450455,"about_ca_system_score_gemma":0.00006218916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004122354,"about_ca_topic_score_gemma":0.00001736039,"domain_scores_codex":[0.9984497,0.00004524301,0.0003481821,0.0006039099,0.0002159505,0.0003370408],"domain_scores_gemma":[0.9987679,0.00005979712,0.0001341249,0.0007547992,0.0001999959,0.00008344065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001039624,0.0005443143,0.0001188286,0.00006801108,0.00001272588,0.000005984475,0.0001042158,0.00002812635,0.8848374,0.0075352,0.008650425,0.09808432],"study_design_scores_gemma":[0.0005254276,0.00002762405,0.007472286,0.00001786211,0.000009643895,0.00003579845,0.000005249125,0.05562701,0.7040834,0.00132716,0.230434,0.0004345097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001314604,0.0001043982,0.995556,0.001660943,0.0000249019,0.000654142,0.00001544874,0.0009792191,0.0008734619],"genre_scores_gemma":[0.01189433,0.00000517248,0.9860166,0.0006198024,0.0001948195,0.000162367,0.00005456233,0.00002191552,0.001030382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2217836,"threshold_uncertainty_score":0.874267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008094034084350783,"score_gpt":0.2409877872503792,"score_spread":0.2328937531660284,"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."}}