{"id":"W2123132185","doi":"10.1109/iccima.2003.1238129","title":"Fuzzy logic based texture queries for CBIR","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Computer science; Pattern recognition (psychology); Artificial intelligence; Fuzzy logic; Feature (linguistics); Fuzzy set; Cluster analysis; Fuzzy clustering; Data mining","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":[0.0001065996,0.00007625086,0.00007492585,0.0000421728,0.00008661861,0.00009496738,0.0004034379,0.00005197194,0.00001367028],"category_scores_gemma":[0.00003652109,0.00005538497,0.00005838975,0.000201957,0.00003719713,0.0002276809,0.00003561239,0.0000440473,0.0000321631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003137693,"about_ca_system_score_gemma":0.0000838042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009141609,"about_ca_topic_score_gemma":0.000002662856,"domain_scores_codex":[0.9994385,0.000008367356,0.0001055658,0.0002001448,0.0001066933,0.0001407264],"domain_scores_gemma":[0.9995022,0.00003073311,0.00003549327,0.0002945982,0.00009793939,0.00003896719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003450477,0.00003621091,0.000009430451,0.00001085516,0.000001744098,9.467741e-7,0.00003314811,0.000004630808,0.003680358,0.9729258,0.0009185479,0.02237482],"study_design_scores_gemma":[0.0004399673,0.0002024536,0.0003647918,0.00001236304,0.000003057328,0.000004792801,0.00002203207,0.002633621,0.4470475,0.4914738,0.05756975,0.0002259168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003270295,0.00005327875,0.9786903,0.0097295,0.00006247115,0.0001879219,0.00000182132,0.0006233942,0.01061861],"genre_scores_gemma":[0.383542,0.00000706737,0.610951,0.003573285,0.00004237495,0.00006860984,0.000004305272,0.000006196451,0.001805126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4814521,"threshold_uncertainty_score":0.2258534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382178348465622,"score_gpt":0.2727553151307022,"score_spread":0.248933531646046,"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."}}