{"id":"W2318790462","doi":"10.13089/jkiisc.2014.24.5.951","title":"An Empirical Study on the Obstacle Factors of ISMS Certification Using Exploratory Factor Analysis","year":2014,"lang":"en","type":"article","venue":"Journal of the Korea Institute of Information Security and Cryptology","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Certification; Obstacle; Business; Accounting; Audit; Exploratory factor analysis; Reliability (semiconductor); Exploratory research; Risk analysis (engineering); Service (business); Marketing; Management; Political science; Economics","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":[0.0006477516,0.00009093844,0.0003075183,0.0004020992,0.0001661831,0.000038231,0.0008565811,0.0001004145,0.000005419332],"category_scores_gemma":[0.0002548617,0.00004901916,0.0001345097,0.00074619,0.0002292603,0.001817282,0.0001081641,0.000215536,7.053397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002020512,"about_ca_system_score_gemma":0.00005541801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475272,"about_ca_topic_score_gemma":0.00003357392,"domain_scores_codex":[0.9986987,0.0002193285,0.0006518758,0.00007875495,0.0002630086,0.00008838683],"domain_scores_gemma":[0.9980165,0.0001107026,0.001038872,0.0005413293,0.000252871,0.00003973656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115786,0.001480498,0.6013131,0.0000633319,0.002357509,0.00000275664,0.09233879,0.009809873,0.002605306,0.276849,0.0002269489,0.01274134],"study_design_scores_gemma":[0.001181403,0.001477478,0.8331366,0.00004233467,0.001023031,0.00004717686,0.01568729,0.1057237,0.02109182,0.01845596,0.001803013,0.0003301507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213241,0.000008821394,0.1777849,0.0006405875,0.0001415675,0.00006192413,0.000007479931,0.000007248852,0.00002334658],"genre_scores_gemma":[0.9988877,0.000005684078,0.0009586263,0.0001334124,0.000009844913,7.777645e-7,0.000002740002,0.000001113088,1.450961e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258393,"threshold_uncertainty_score":0.1998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159239608252206,"score_gpt":0.2977486740536365,"score_spread":0.2561562779711144,"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."}}