{"id":"W2527409456","doi":"10.1515/9783598441677.154","title":"QUALITY STANDARDS AND TARGET OUTPUTS BASED ON BENCHMARKING STUDIES IMPROVED BY A PROPOSED PROSPECTIVE BALANCED-SCORECARD MODEL FOR THE MONTRÉAL PUBLIC LIBRARIES SYSTEM","year":2009,"lang":"en","type":"book-chapter","venue":"IFLA publications","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Benchmarking; Quality (philosophy); Computer science; Business; Process management; Library science; Operations research; Engineering; Marketing; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01922365,0.001158576,0.0008259038,0.004476146,0.0009979716,0.006273713,0.00289661,0.001168332,0.004024783],"category_scores_gemma":[0.03121318,0.0005991722,0.001031227,0.007946121,0.001837071,0.005384351,0.002305483,0.00128085,0.0009011278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01206679,"about_ca_system_score_gemma":0.01584393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04059121,"about_ca_topic_score_gemma":0.04579161,"domain_scores_codex":[0.9777812,0.009920652,0.001090202,0.001507433,0.008837,0.0008635123],"domain_scores_gemma":[0.9868507,0.002616313,0.001081869,0.00104108,0.008084175,0.0003257801],"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":[0.0001200116,0.00009603571,0.009586236,0.0004356697,0.0001117839,0.0001365044,0.0005556017,0.1269356,0.001064089,0.5123127,0.02581995,0.3228258],"study_design_scores_gemma":[0.0001570062,0.0005411831,0.02432138,0.0007269373,0.0001783687,0.0002183611,0.0007324229,0.6114877,0.004001825,0.2560806,0.1012541,0.0003000914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0150779,0.001209456,0.9112403,0.002507696,0.0002361104,0.0005815872,0.0008460736,0.0006118515,0.06768899],"genre_scores_gemma":[0.5505535,0.001655085,0.426256,0.0004122292,0.0001367909,0.0007595459,0.00195721,0.0001754196,0.01809424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04059121,"threshold_uncertainty_score":0.1016656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807612837948606,"score_gpt":0.2464988677937801,"score_spread":0.218422739414294,"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."}}