{"id":"W1513962374","doi":"","title":"Distributed multimedia information retrieval : SIGIR 2003 Workshop on Distributed Information Retrieval, Toronto, Canada, August 1, 2003 : revised selected and invited papers","year":2004,"lang":"en","type":"book","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Selection (genetic algorithm); World Wide Web; Resource (disambiguation); Digital library; Human–computer information retrieval; Search engine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001798535,0.002180663,0.002848575,0.003457032,0.001705184,0.00550621,0.002910776,0.001330926,0.06538181],"category_scores_gemma":[0.002579302,0.001233624,0.0005528013,0.007238501,0.00145235,0.003720731,0.001400062,0.00197203,0.04117171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004695519,"about_ca_system_score_gemma":0.007619962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1497076,"about_ca_topic_score_gemma":0.2875563,"domain_scores_codex":[0.9990475,0.00008149756,0.00004826536,0.0001822162,0.0005216578,0.0001189097],"domain_scores_gemma":[0.9968479,0.0003009404,0.00005526367,0.0002670592,0.002221484,0.0003072856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008015255,0.00002714402,0.0001220297,0.000333905,0.0000157935,0.00003878106,0.00006884534,0.0006492846,0.00167638,0.002025474,0.872584,0.1223782],"study_design_scores_gemma":[0.00005801694,0.00006264721,0.001523654,0.0002318594,0.0000691928,0.0002957108,0.0001497909,0.006980263,0.004769416,0.004476227,0.9813343,0.00004916157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01052042,0.236971,0.4363039,0.01759391,0.04829571,0.001229723,0.01988954,0.03340997,0.1957859],"genre_scores_gemma":[0.02168941,0.06217048,0.06021902,0.0009751944,0.004424082,0.0002161139,0.01650918,0.0040475,0.829749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8502924,"threshold_uncertainty_score":0.2976723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007384674766883165,"score_gpt":0.209392348540241,"score_spread":0.2020076737733578,"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."}}