{"id":"W4385252748","doi":"10.15460/hup.228.1672","title":"EUCAT","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; University of Toronto; European Bank for Reconstruction and Development; Andrew W. Mellon Foundation; United States Agency for International Development","keywords":"Cataloging; Library science; Union catalog; National library; Political science; European union; Foundation (evidence); Soviet union; Geography; Computer science; Law; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001442191,0.001917728,0.001559208,0.00264432,0.001221176,0.008476666,0.00236101,0.001883051,0.4617574],"category_scores_gemma":[0.003145749,0.001004762,0.0009777155,0.003307186,0.0006763103,0.003557462,0.003150417,0.001970371,0.4914527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127336,"about_ca_system_score_gemma":0.001728027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702753,"about_ca_topic_score_gemma":0.004220116,"domain_scores_codex":[0.9979412,0.0002613114,0.0001290347,0.0006456745,0.0008503784,0.0001724149],"domain_scores_gemma":[0.9982473,0.0002713584,0.000124604,0.0005837689,0.0005064457,0.0002665582],"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":[0.0002847216,0.00005869206,0.000471952,0.0006601085,0.00004082194,0.0001038074,0.0001558776,0.0008392183,0.002396257,0.04101666,0.6793132,0.2746587],"study_design_scores_gemma":[0.00002089814,0.00001366873,0.0002155362,0.00006838266,0.000007409179,0.0001058611,0.00003291808,0.0003861861,0.0009150559,0.003753499,0.9944679,0.00001267289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002104539,0.009306964,0.05996469,0.001897342,0.002090124,0.0001822083,0.03453133,0.07584754,0.8140752],"genre_scores_gemma":[0.0142191,0.006872687,0.07374121,0.001346517,0.0004092754,0.0003246268,0.05763283,0.03033181,0.815122],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5382426,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133523272020228,"score_gpt":0.1973966890603887,"score_spread":0.1760614563401864,"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."}}