{"id":"W4385259716","doi":"10.15460/hup.228.1689","title":"Using a Shared Cataloging System","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; German Marshall Fund of the United States; European Bank for Reconstruction and Development; Andrew W. Mellon Foundation; United States Agency for International Development","keywords":"Cataloging; Library science; Union catalog; European union; Soviet union; National library; Political science; Foundation (evidence); World Wide Web; Computer science; Business; Law","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004775736,0.0006125129,0.0008272546,0.003355092,0.003188249,0.012513,0.003506071,0.002540699,0.02906909],"category_scores_gemma":[0.007189148,0.000801556,0.0008946182,0.006554449,0.001289976,0.01877314,0.01026388,0.001404578,0.01037673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00215173,"about_ca_system_score_gemma":0.003273899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006271379,"about_ca_topic_score_gemma":0.008591775,"domain_scores_codex":[0.9958995,0.00118906,0.0004465525,0.000568215,0.001506409,0.0003902016],"domain_scores_gemma":[0.9939995,0.00114291,0.0002185661,0.003207357,0.0009850669,0.0004466396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003852579,0.0002781705,0.004623441,0.0006701933,0.0001455271,0.0008282475,0.006226375,0.00474776,0.006816406,0.1640376,0.1452235,0.6660175],"study_design_scores_gemma":[0.0001111106,0.0002012923,0.002255667,0.0004147135,0.0001594891,0.001037286,0.002176158,0.01571221,0.008909663,0.03997757,0.9288949,0.0001498529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0806661,0.004576648,0.4904191,0.004301801,0.00106842,0.0009002642,0.002616953,0.04936634,0.3660845],"genre_scores_gemma":[0.4638661,0.004112664,0.279143,0.001560391,0.0004825852,0.0006438972,0.009687803,0.003696351,0.2368071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.987487,"threshold_uncertainty_score":0.09724581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06470378761594144,"score_gpt":0.2316159056555638,"score_spread":0.1669121180396224,"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."}}