{"id":"W2107942599","doi":"10.1109/iscas.2004.1329195","title":"A unified framework for similarity calculation between images","year":2004,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Search engine indexing; Flexibility (engineering); Similarity (geometry); Data mining; Process (computing); Feature (linguistics); Information retrieval; Image retrieval; Artificial intelligence; Image (mathematics); Fuzzy set; Fuzzy logic; Pattern recognition (psychology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004711265,0.001127767,0.001930515,0.005910744,0.001208512,0.005558848,0.003696439,0.002019764,0.002578829],"category_scores_gemma":[0.008688626,0.0006790287,0.002247907,0.005391712,0.002266712,0.006003943,0.003074047,0.00246473,0.002041181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135229,"about_ca_system_score_gemma":0.001872985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002741509,"about_ca_topic_score_gemma":0.002210565,"domain_scores_codex":[0.9953135,0.001260058,0.0005499175,0.0007276717,0.001967593,0.0001812307],"domain_scores_gemma":[0.9973152,0.0007415255,0.0002589563,0.0005529888,0.0009834156,0.0001478593],"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":[0.00004395415,0.00007030488,0.0004181253,0.0003954465,0.0001256944,0.0002506285,0.0004344408,0.03744595,0.005991937,0.7929856,0.004764739,0.1570733],"study_design_scores_gemma":[0.00003383727,0.0001638302,0.0006592079,0.0001936188,0.0001003851,0.0006640436,0.0001945183,0.3536963,0.00323017,0.5860127,0.05494307,0.0001082606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004301723,0.0003568136,0.9979226,0.00009293795,0.00003181507,0.00004353991,0.00004099725,0.0001024305,0.0009785813],"genre_scores_gemma":[0.02729265,0.0009003576,0.9697314,0.00008439605,0.0001778971,0.0002757033,0.0002259837,0.00006218959,0.001249531],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005910744,"threshold_uncertainty_score":0.02491587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122623558018602,"score_gpt":0.3199473598405299,"score_spread":0.2787211242603438,"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."}}