{"id":"W4288060363","doi":"10.18357/kula.229","title":"Using Linked Data Sources to Enhance Catalog Discovery","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Andrew W. Mellon Foundation","keywords":"Metadata; Cataloging; Computer science; Usability; Library catalog; World Wide Web; Data science; Data curation; Linked data; Data discovery; Information retrieval; Semantic Web; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006922,0.0001427089,0.0002002548,0.0002034061,0.0007898318,0.0002533572,0.0007642768,0.00002814348,0.00001127302],"category_scores_gemma":[0.0008920369,0.0001361622,0.00002297635,0.0006483927,0.0000586518,0.001557331,0.002125745,0.00008747429,0.000006322668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007604736,"about_ca_system_score_gemma":0.00004886359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000300602,"about_ca_topic_score_gemma":0.00008818757,"domain_scores_codex":[0.998557,0.0001650824,0.0002954823,0.0005297953,0.0002836746,0.0001689375],"domain_scores_gemma":[0.9983966,0.00052262,0.0001426059,0.0006334938,0.000257157,0.0000474704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001675185,0.0009913096,0.1058259,0.0006252048,0.0006123665,0.0000137092,0.3622786,0.003264442,0.02435109,0.1611929,0.08543819,0.2552388],"study_design_scores_gemma":[0.000816574,0.0002951344,0.2654127,0.0003112683,0.0001679241,0.00003710371,0.02987324,0.3406399,0.0118545,0.01092824,0.3381282,0.001535298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6210284,0.01123687,0.3549269,0.006384843,0.0008584205,0.0007086308,0.00005988462,0.0003211007,0.004474915],"genre_scores_gemma":[0.9778505,0.0002025608,0.007936755,0.0001731339,0.00008991569,0.0001195413,0.0001847891,0.000009754439,0.01343308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.356822,"threshold_uncertainty_score":0.6074828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447546835511525,"score_gpt":0.4343003403280847,"score_spread":0.2895456567769323,"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."}}