{"id":"W2082579441","doi":"10.1007/s00530-005-0173-8","title":"Multiple representations, similarity matching, and results fusion for content-based image retrieval","year":2005,"lang":"en","type":"article","venue":"Multimedia Systems","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Similarity (geometry); Similarity measure; Pooling; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212925,0.0007553297,0.00183881,0.003303722,0.0005798233,0.001862502,0.001556209,0.00166681,0.002469506],"category_scores_gemma":[0.005293625,0.0004411268,0.000997753,0.003523985,0.0007978377,0.00329992,0.001481293,0.0009005368,0.001277791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006588622,"about_ca_system_score_gemma":0.0008005786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687533,"about_ca_topic_score_gemma":0.001674228,"domain_scores_codex":[0.9974245,0.0006401765,0.0001735686,0.0003115312,0.001303837,0.000146322],"domain_scores_gemma":[0.9986066,0.0004117649,0.0001740377,0.0003407734,0.0004158803,0.00005084841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004819109,0.0001958975,0.0004739428,0.0002470993,0.0001442383,0.00009964118,0.00008895208,0.02107289,0.04566747,0.009798574,0.004885241,0.9168442],"study_design_scores_gemma":[0.000106519,0.0004363208,0.001962217,0.00004002929,0.0002929576,0.0006890781,0.0001156573,0.8820504,0.07583904,0.03125941,0.007115406,0.00009294254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0140175,0.002789882,0.9807413,0.0002428812,0.0001328585,0.0000825122,0.00008207296,0.0009006411,0.001010437],"genre_scores_gemma":[0.2980777,0.002198387,0.6947738,0.0001745527,0.0004431212,0.000185784,0.0004757054,0.0001371129,0.003533826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003303722,"threshold_uncertainty_score":0.01170319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813640614478312,"score_gpt":0.2935848521390155,"score_spread":0.2454484459942324,"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."}}