{"id":"W3216888129","doi":"10.1108/ijppm-09-2020-0501","title":"Designing and implementing performance measurement systems based on enterprise engineering guidelines","year":2021,"lang":"en","type":"article","venue":"International Journal of Productivity and Performance Management","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Process management; Interoperability; Process (computing); Consistency (knowledge bases); Relevance (law); Knowledge management; Software engineering; Systems engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327012,0.0001504262,0.000172199,0.0003482443,0.0001340559,0.0003036589,0.0001872254,0.00003385523,0.00001379044],"category_scores_gemma":[0.0001018364,0.000136466,0.00003951651,0.0001503922,0.00002591722,0.001442333,0.0001501496,0.0001640101,0.000005399262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006976153,"about_ca_system_score_gemma":0.00002661045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006994142,"about_ca_topic_score_gemma":0.000002314738,"domain_scores_codex":[0.9984673,0.000007299967,0.0004890923,0.0001723647,0.0006714506,0.0001924434],"domain_scores_gemma":[0.9984927,0.00001158289,0.0004483136,0.0001220597,0.0009122827,0.00001308636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009255797,0.0004988391,0.2193618,0.003982936,0.001079811,0.0002970893,0.000270843,0.1175886,0.003731648,0.02567541,0.004983669,0.6216038],"study_design_scores_gemma":[0.00435594,0.0002843516,0.1555206,0.003521025,0.0002489857,0.0002952977,0.001260841,0.5847767,0.0125459,0.0001825617,0.2360679,0.0009399662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834707,0.0003594524,0.008950401,0.002394394,0.001314956,0.0001667207,0.000001542093,0.00003845863,0.003303322],"genre_scores_gemma":[0.9971532,0.0003184948,0.001317855,0.0004499421,0.0006775387,0.000009149086,0.000003296685,0.000009648761,0.00006092017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6206639,"threshold_uncertainty_score":0.5564923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731804278027865,"score_gpt":0.232763154557363,"score_spread":0.2054451117770844,"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."}}