{"id":"W1850726568","doi":"10.18438/b8t02z","title":"Building Scorecards in Academic Research Libraries: Performance Measurement and Organizational Issues","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Balanced scorecard; Implementation; Mission statement; Face (sociological concept); Library science; Computer science; Medical education; Public relations; Business; Process management; Political science; Sociology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00175223,0.000140463,0.0001168671,0.0006483519,0.0003550182,0.001871984,0.0002361627,0.00008325935,0.0004716137],"category_scores_gemma":[0.003541233,0.0001323187,0.00001000494,0.001457037,0.00009184499,0.3224808,0.0003803554,0.0003602439,0.000261066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002320689,"about_ca_system_score_gemma":0.0001130599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007024999,"about_ca_topic_score_gemma":8.418385e-8,"domain_scores_codex":[0.9982896,0.00006120795,0.0004202396,0.0001992516,0.0007823005,0.0002473617],"domain_scores_gemma":[0.9987361,0.0004347956,0.0002322311,0.0001416653,0.000429202,0.00002598537],"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":[0.00009583715,0.00003621206,0.1271596,0.000785957,0.00001360779,0.000001238264,0.0001384342,0.0003818524,0.00009524178,0.8383981,0.01640732,0.01648659],"study_design_scores_gemma":[0.0005109021,0.00003395518,0.3030899,0.001077414,0.00002313864,0.000004248663,0.001148843,0.04813121,0.0004205439,0.005188592,0.6400182,0.0003530985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4845024,0.005885736,0.005569631,0.479521,0.0005199995,0.002282025,0.000003240112,0.000623551,0.02109236],"genre_scores_gemma":[0.9518096,0.001544239,0.00452424,0.04153674,0.0004166331,0.00005143277,0.00002731935,0.00001874422,0.00007108893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8332095,"threshold_uncertainty_score":0.9991642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274234891599038,"score_gpt":0.2814441794300965,"score_spread":0.2387018305141062,"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."}}