{"id":"W2910724051","doi":"10.3166/ts.35.23-33","title":"Texture feature-based image searching system using wavelet transform approach","year":2018,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Feature (linguistics); Wavelet transform; Computer science; Texture (cosmology); Image (mathematics); Computer vision; Wavelet; Image texture; 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":[0.0006597251,0.0002089582,0.0001937933,0.0001532351,0.0003484754,0.0003326825,0.0007598567,0.00009062845,0.00003518953],"category_scores_gemma":[0.000005454993,0.0001710738,0.0001178514,0.0004715664,0.0001311474,0.0004842745,0.00005249155,0.0002188997,0.00002280835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649572,"about_ca_system_score_gemma":0.0001260528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149219,"about_ca_topic_score_gemma":6.58079e-7,"domain_scores_codex":[0.9982314,0.00011025,0.0002595849,0.0004502288,0.0005546939,0.0003938559],"domain_scores_gemma":[0.9991997,0.00003392389,0.00009675719,0.0003620523,0.0001859161,0.0001216658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001653548,0.0007080302,0.00008139862,0.0009295194,0.0001264891,0.00005860322,0.003197765,0.00003426483,0.662053,0.102977,0.002780411,0.2268882],"study_design_scores_gemma":[0.0005199876,0.0001833387,0.0001984025,0.00008322057,0.00001652323,0.00003465043,0.000101358,0.7146664,0.2811142,0.0002071094,0.002588552,0.0002862993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001267893,0.00003159665,0.9915714,0.0006415676,0.00007459,0.0004540539,0.00001052094,0.0005461832,0.005402164],"genre_scores_gemma":[0.738081,8.214037e-7,0.2613665,0.0002123846,0.0002131111,0.00002192391,0.0000105933,0.00001424747,0.0000793873],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7368131,"threshold_uncertainty_score":0.6976189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334191717821298,"score_gpt":0.26044200824339,"score_spread":0.237100091065177,"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."}}