{"id":"W637000585","doi":"","title":"AUTOMATED WORKSTATIONS FOR PROFESSIONAL CATALOGERS: A SURVEY OF ARL LIBRARIES","year":2015,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; University of California, Irvine; University of Minnesota; University of Waterloo; University of Notre Dame; University of Oklahoma; Florida State University; U.S. National Library of Medicine; Wayne State University; Smithsonian Libraries; York University; Vanderbilt University; Smithsonian Institution","keywords":"Workstation; Computer science; Library science; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0009551396,0.0001042256,0.0001409589,0.0001886733,0.0003730796,0.0001532462,0.001849244,0.00003587787,0.000005636215],"category_scores_gemma":[0.0001095805,0.00006247506,0.00005148868,0.001716044,0.0002447412,0.003351708,0.0003943039,0.00008264397,0.000100642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003748396,"about_ca_system_score_gemma":0.0008445503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006171402,"about_ca_topic_score_gemma":0.00007612475,"domain_scores_codex":[0.9988853,0.0003207525,0.0002218295,0.0001565437,0.0001968032,0.0002188194],"domain_scores_gemma":[0.9982114,0.0005923158,0.0002029901,0.0004608361,0.0004406493,0.00009177448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002881585,0.0003213223,0.004625762,0.0001067425,0.0001891271,0.000006067772,0.253022,0.002543476,0.00009704333,0.4305945,0.2949856,0.01322021],"study_design_scores_gemma":[0.00260475,0.0003614179,0.04341444,0.0001533207,0.00002286672,0.00001393652,0.01340061,0.5247809,0.00137275,0.008101317,0.4051217,0.0006520102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1950005,0.0005084929,0.6924299,0.008135907,0.004965786,0.003639557,0.0005231793,0.001830471,0.09296615],"genre_scores_gemma":[0.9747831,0.00000818534,0.002088654,0.0001416775,0.00003401096,0.000006099061,0.0000817152,0.000008647914,0.02284794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7797825,"threshold_uncertainty_score":0.3436387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05035575384433923,"score_gpt":0.2519490115535911,"score_spread":0.2015932577092519,"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."}}