{"id":"W2093845743","doi":"10.5539/ibr.v4n3p135","title":"Assessing Organizational Agility via Fuzzy Logic","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Computer science; Process management; Knowledge management; Business; Operations management; Operations research; Risk analysis (engineering); Artificial intelligence; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009844075,0.0001622927,0.0001414097,0.0008470042,0.0003593738,0.001084463,0.0008194455,0.00008573516,0.008172621],"category_scores_gemma":[0.001814898,0.0001566187,0.00004041486,0.002596008,0.0002094326,0.003319137,0.0006269822,0.0002711404,0.002155682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708713,"about_ca_system_score_gemma":0.0001394176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007754965,"about_ca_topic_score_gemma":0.00008673631,"domain_scores_codex":[0.9974894,0.00004133792,0.0003691297,0.0004341494,0.001315789,0.0003501814],"domain_scores_gemma":[0.9927281,0.0001160674,0.0001478261,0.0002960772,0.006690165,0.00002180737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002699542,0.001200871,0.7663242,0.0002025462,0.0001454962,0.0001509387,0.0002288651,0.0003229031,0.005460031,0.1973569,0.01831883,0.01001841],"study_design_scores_gemma":[0.0006176542,0.000006251656,0.8203216,0.00007524652,0.00001220854,0.00001238501,0.0003122279,0.001966636,0.0003768897,0.1282613,0.04767612,0.0003615456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.170798,0.00007461265,0.05024972,0.006995083,0.004160758,0.0006177581,0.00001352061,0.0004449806,0.7666456],"genre_scores_gemma":[0.9953039,0.000008372507,0.0009913505,0.0007131873,0.001940794,0.00004745415,0.0001451662,0.00003552309,0.0008142269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8245059,"threshold_uncertainty_score":0.9999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240177511684231,"score_gpt":0.3694299345809742,"score_spread":0.2454121834125511,"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."}}