{"id":"W2601298734","doi":"10.6017/ital.v36i1.9598","title":"Reference Rot in the Repository: A Case Study of Electronic Theses and Dissertations (ETDs) in an Academic Library","year":2017,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Stratified sampling; Library science; Sample (material); Computer science; World Wide Web; Physics; Mathematics; Statistics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01242177,0.0003503135,0.000547851,0.007800898,0.008824496,0.007199631,0.001897858,0.001740176,0.005077905],"category_scores_gemma":[0.05877602,0.0004560422,0.0005210405,0.02008664,0.004386819,0.006876584,0.007133293,0.00145046,0.000982188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003794012,"about_ca_system_score_gemma":0.002744375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006183664,"about_ca_topic_score_gemma":0.01506516,"domain_scores_codex":[0.9859023,0.006413934,0.001852816,0.0008890288,0.003797529,0.001144313],"domain_scores_gemma":[0.9503608,0.02056433,0.01608981,0.005837746,0.004604528,0.002542787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004477489,0.0005108828,0.3553752,0.0009810226,0.00008993543,0.02289508,0.4068522,0.0008619211,0.002505636,0.008712046,0.006734851,0.1940335],"study_design_scores_gemma":[0.00002604935,0.0005282973,0.1928041,0.0009046656,0.0001020248,0.01939268,0.6615041,0.0008119503,0.005131685,0.002462249,0.1161938,0.0001384123],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878895,0.001265972,0.001135856,0.001437931,0.00005551157,0.00008137229,0.0002407005,0.00006022345,0.007833114],"genre_scores_gemma":[0.9897106,0.001243277,0.001877505,0.0003567386,0.00009354399,0.00004881382,0.000291659,0.00006631958,0.006311603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928004,"threshold_uncertainty_score":0.06569338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755620478679977,"score_gpt":0.2401300104619219,"score_spread":0.2125738056751222,"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."}}