{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000922277,0.0001338478,0.0001344659,0.0001290562,0.00005687823,0.0003515213,0.001310625,0.0001123007,0.001138446],"category_scores_gemma":[0.000001481693,0.0001011178,0.00007785028,0.00004060822,0.00003116856,0.003232941,0.0002283115,0.00009910358,0.009003367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003328621,"about_ca_system_score_gemma":0.0002331222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004432818,"about_ca_topic_score_gemma":3.226742e-7,"domain_scores_codex":[0.9990786,0.000001992368,0.0002493086,0.0002067869,0.0003321308,0.0001312165],"domain_scores_gemma":[0.9991906,0.000009952374,0.0001133997,0.0005657684,0.00003688183,0.00008343306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[6.284196e-8,6.851187e-7,6.353506e-7,0.000004626104,0.000002352895,0.000001980077,0.0002140929,0.00000366671,3.825503e-7,0.9776509,0.01771377,0.004406787],"study_design_scores_gemma":[0.00004822101,0.00002000394,0.00000426017,0.0000347349,2.955243e-7,0.00001395638,0.000005212657,0.0002425484,0.0000370128,0.1304141,0.8690143,0.0001653672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.699942e-7,0.00004547832,0.05610429,0.0008380342,0.0006407785,0.00009096674,0.000001153074,0.0002242076,0.9420547],"genre_scores_gemma":[0.0007760288,0.00002002229,0.003901634,0.002499297,0.0001055322,0.000001590787,0.000004479116,0.000005474773,0.9926859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8513005,"threshold_uncertainty_score":0.9997746,"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."}}