{"id":"W1584143444","doi":"10.18438/b83g75","title":"Business Intelligence Infrastructure for Academic Libraries","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Interlibrary loan; Database","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.000288223,0.0002269901,0.0001714511,0.0003280271,0.0003010505,0.002432122,0.00052072,0.0001673112,0.001659699],"category_scores_gemma":[0.00340715,0.0001915032,0.00003647068,0.001083328,0.0001371739,0.5955504,0.0002909544,0.0002881099,0.0005288383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005347199,"about_ca_system_score_gemma":0.0001192661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000352881,"about_ca_topic_score_gemma":3.366292e-8,"domain_scores_codex":[0.9986941,0.00001874082,0.0005336276,0.0002270479,0.0002508782,0.0002756462],"domain_scores_gemma":[0.9978178,0.0009884759,0.0005285573,0.0002858882,0.0003468278,0.00003250426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002960081,0.00002079427,0.001673888,0.0009971373,0.0000132044,8.301201e-7,0.00004384654,0.0005145163,0.00007378582,0.7851841,0.06312461,0.1480573],"study_design_scores_gemma":[0.000119153,0.00001428499,0.01495013,0.0003363879,0.00003863066,0.00001023858,0.0004283927,0.02334754,0.0006835232,0.01039337,0.9493783,0.0003000845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01218151,0.002871692,0.5424334,0.414983,0.002177442,0.00337689,0.00005742569,0.001176612,0.02074199],"genre_scores_gemma":[0.4387878,0.003680922,0.04042348,0.5120867,0.002720926,0.0006246555,0.0009639458,0.00007073233,0.0006408223],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8862537,"threshold_uncertainty_score":0.9992529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481564118574194,"score_gpt":0.2734112177454564,"score_spread":0.2385955765597145,"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."}}