{"id":"W2074211135","doi":"10.1109/icmss.2010.5577071","title":"Application of Balanced Scorecard in Library Management and Evaluation","year":2010,"lang":"en","type":"article","venue":"","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Balanced scorecard; Computer science; Benchmark (surveying); Strategy map; Library management; Statement (logic); Process management; Engineering management; Engineering; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049519,0.00007281158,0.00008296523,0.0002421577,0.00003260545,0.00007093618,0.0001072351,0.00003094249,0.0002436423],"category_scores_gemma":[0.00002022849,0.00006828827,0.00001244924,0.0004565704,0.0000238542,0.000895307,0.0001431281,0.00005530359,0.0000462118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004746434,"about_ca_system_score_gemma":0.000004516437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006973923,"about_ca_topic_score_gemma":0.00003876146,"domain_scores_codex":[0.9993328,0.000003338937,0.0001808633,0.0001774687,0.0002164859,0.0000890106],"domain_scores_gemma":[0.9996805,0.00001134267,0.0001016441,0.0001431006,0.00005932513,0.000004051476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001036376,0.00005325513,0.6479844,0.0001546855,0.000009255829,4.186731e-7,0.000008268157,0.0001176476,0.0006225035,0.3153537,0.001124066,0.03456147],"study_design_scores_gemma":[0.0005433309,0.000001990076,0.9252382,0.00001684459,0.0000328,2.031379e-7,0.00008467866,0.04343006,0.0001438057,0.01497647,0.01541512,0.0001164843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580793,0.00001995086,0.001564897,0.0007338157,0.0001545069,0.0005406344,4.521856e-7,0.00008434235,0.1388221],"genre_scores_gemma":[0.9973516,0.00000890991,0.001647535,0.000549079,0.0001753557,0.00003565352,0.00004304341,0.00001287636,0.000175933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3003772,"threshold_uncertainty_score":0.2784715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005969402094884366,"score_gpt":0.2029337845654621,"score_spread":0.1969643824705777,"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."}}