{"id":"W2083193491","doi":"10.12735/jbm.v3i1p1","title":"Impact of Information Technology Infrastructure Flexibility on the Competitive Advantage of Small and Medium Sized-Enterprises","year":2014,"lang":"en","type":"article","venue":"Journal of Business & Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Competitive advantage; Business; Industrial organization; Information technology; Small and medium-sized enterprises; Commerce; Computer science; Marketing; Economics; Finance; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0009200411,0.0001893875,0.000370266,0.001020193,0.0000772871,0.00008555762,0.0003834585,0.0000560197,0.00009464198],"category_scores_gemma":[0.0003112848,0.0001185053,0.0001034681,0.001060429,0.00016342,0.0006120646,0.0003417572,0.0001673516,0.00001004701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005952472,"about_ca_system_score_gemma":0.00002550515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001157692,"about_ca_topic_score_gemma":0.00000678801,"domain_scores_codex":[0.9985583,0.00002342409,0.0007963676,0.0001116748,0.0003463118,0.0001639296],"domain_scores_gemma":[0.9971192,0.00006569622,0.001426434,0.0002414414,0.001137015,0.00001018062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009069666,0.0004740259,0.05314202,0.002240474,0.0006618459,0.000008227586,0.0002176125,0.001222457,0.0004163631,0.8311673,0.002958522,0.1065842],"study_design_scores_gemma":[0.002800485,0.0001721891,0.9254869,0.0007044522,0.0002916505,0.000008669532,0.004777133,0.001334109,0.0002060727,0.02932166,0.0345987,0.0002979959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830295,0.00004954004,0.01111834,0.004273582,0.0007220667,0.0008071992,0.000006713882,0.0000435939,0.152684],"genre_scores_gemma":[0.9984847,0.00004061014,0.0007767642,0.0004798178,0.0001625854,0.000004726923,0.000005658081,0.000009742223,0.00003544171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8723449,"threshold_uncertainty_score":0.4832506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008412277815794901,"score_gpt":0.2351137526634228,"score_spread":0.2267014748476279,"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."}}