{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001949616,0.0001712956,0.0002109015,0.00360204,0.00106996,0.002102413,0.0007607884,0.0006241326,0.008735679],"category_scores_gemma":[0.008513186,0.0003219392,0.0002067006,0.005406072,0.0004527938,0.002738759,0.0008130609,0.0005024042,0.002398233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460765,"about_ca_system_score_gemma":0.001955108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105873,"about_ca_topic_score_gemma":0.02399153,"domain_scores_codex":[0.9962776,0.001019805,0.0003026699,0.0002795494,0.001628118,0.0004922281],"domain_scores_gemma":[0.9815378,0.005686425,0.007075673,0.0006340388,0.003202343,0.001863791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001574279,0.0003200438,0.8355664,0.0005328119,0.00003149948,0.0006021007,0.01069311,0.0002524739,0.001900661,0.001271498,0.01884204,0.12983],"study_design_scores_gemma":[0.000009366694,0.0002372625,0.9541882,0.000136807,0.00001401828,0.001115975,0.01056262,0.0004022434,0.0004101409,0.0001293825,0.03276597,0.00002804272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841085,0.002416106,0.0005785608,0.001732646,0.00001246066,0.00003413338,0.0009817161,0.0001142848,0.01002163],"genre_scores_gemma":[0.986877,0.003601745,0.001088267,0.0008497914,0.00006009963,0.00006379848,0.0009412225,0.00003335819,0.006484725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105873,"threshold_uncertainty_score":0.0292238,"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."}}