{"id":"W4377200823","doi":"10.28945/5113","title":"Analysis of the Scale Types and Measurement Units in Enterprise Architecture (EA) Measurement","year":2023,"lang":"en","type":"article","venue":"Interdisciplinary Journal of Information Knowledge and Management","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Context (archaeology); Computer science; Metrology; Measure (data warehouse); Empirical research; Measurement uncertainty; Scale (ratio); Credibility; Performance measurement; Level of measurement; Risk analysis (engineering); Industrial engineering; Management science; Operations research; Data mining; Mathematics; Engineering; Statistics","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":[0.00119371,0.0001176566,0.0002344216,0.001524635,0.000119436,0.00007843738,0.0002379683,0.00004528666,0.00001042105],"category_scores_gemma":[0.00003921446,0.00008028171,0.00008466237,0.00181261,0.00006402465,0.001159258,0.0005755888,0.0001376982,0.00001294886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006602222,"about_ca_system_score_gemma":0.00002283342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007768715,"about_ca_topic_score_gemma":0.0002436203,"domain_scores_codex":[0.9986603,0.00001327266,0.0006823078,0.00006473594,0.000439409,0.0001399225],"domain_scores_gemma":[0.9986989,0.000009620345,0.0006004476,0.0001393964,0.0005399463,0.00001163659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001029486,0.0004757314,0.1101685,0.005232085,0.004691315,0.00003369178,0.03496466,0.0176439,0.0002774051,0.04395925,0.03953725,0.7419868],"study_design_scores_gemma":[0.002901733,0.0001303342,0.8842245,0.001586169,0.001405037,0.00001747726,0.01887581,0.0227608,0.0002454362,0.006352099,0.06106992,0.000430703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488839,0.0005679802,0.002962704,0.002874787,0.0006286604,0.0005484809,0.000007116111,0.0000485301,0.04347783],"genre_scores_gemma":[0.9995718,0.0001789123,0.00002567579,0.000131974,0.00003433953,0.00000818788,0.000004016213,0.000003541531,0.00004153317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.774056,"threshold_uncertainty_score":0.3273793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598830283147826,"score_gpt":0.2355826970674933,"score_spread":0.2195943942360151,"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."}}