{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006020821,0.001021257,0.0009235157,0.0003332557,0.0004444601,0.001006589,0.001291062,0.001155223,0.0002842834],"category_scores_gemma":[0.003843677,0.0009560789,0.0001117377,0.00346775,0.0002012531,0.004681688,0.0003104561,0.001110463,0.00004645114],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008108799,"about_ca_system_score_gemma":0.01014141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114812,"about_ca_topic_score_gemma":0.009007388,"domain_scores_codex":[0.9945136,0.000170868,0.001835732,0.0007371148,0.001844141,0.0008985412],"domain_scores_gemma":[0.9922068,0.0002662323,0.001414245,0.001306428,0.004202524,0.0006038247],"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":[0.0004747027,0.0000977834,0.00001060688,0.0004408708,0.0001913162,0.00001604248,0.0004435263,0.0000325842,0.0001113526,0.004982282,0.9558075,0.03739145],"study_design_scores_gemma":[0.001834935,0.0002973565,0.001204969,0.0007102898,0.0001006537,0.0000248067,0.0000909671,0.01192944,0.003095775,0.0001528393,0.97894,0.001618008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000519672,0.001393174,0.8457855,0.00488536,0.002136356,0.007600579,0.006651713,0.004135928,0.1273594],"genre_scores_gemma":[0.01006585,0.01705456,0.05864378,0.03701609,0.001581084,0.0005384548,0.3422122,0.0005871123,0.5323009],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7871417,"threshold_uncertainty_score":0.999289,"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."}}