{"id":"W2124298528","doi":"10.5539/cis.v5n3p97","title":"A Model of Maturity for IS Risk Management Case Study","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Computer science; Continuation; Process (computing); Process management; Presentation (obstetrics); Consolidation (business); Risk management; Accounting; Management; Business; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0006017617,0.00006236933,0.00007538283,0.0002563088,0.0002601288,0.0001548361,0.0001483662,0.00002097362,0.000004460233],"category_scores_gemma":[0.000009151025,0.0000521505,0.00001862643,0.0003253423,0.00008685106,0.01446236,0.0001569661,0.00003967645,0.00001648314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008790176,"about_ca_system_score_gemma":0.000008781226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003359031,"about_ca_topic_score_gemma":0.000001035067,"domain_scores_codex":[0.9993747,9.792361e-7,0.0002411479,0.00005709641,0.0001703531,0.0001556618],"domain_scores_gemma":[0.9994391,0.000005983537,0.0002408278,0.0001309193,0.0001736304,0.000009506845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003385917,0.0001953389,0.03715801,0.0005217239,0.00003015109,0.000001600969,0.008838725,0.001361512,0.000005591115,0.5341806,0.005345342,0.4123275],"study_design_scores_gemma":[0.0006724154,0.00002521883,0.01209974,0.000008476135,0.00002362643,0.00001897289,0.003509705,0.9761937,0.00004824492,0.001262191,0.006006815,0.000130919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435909,0.000007637922,0.1474103,0.0000365878,0.0001599777,0.0003884255,0.00000806963,0.00004109391,0.008357057],"genre_scores_gemma":[0.9941115,0.000009816995,0.00496853,0.0008401268,0.00004533898,0.00001513761,0.000001409339,0.000001199692,0.000006943131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9748322,"threshold_uncertainty_score":0.9993218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443565420449678,"score_gpt":0.2512475909784454,"score_spread":0.2268119367739486,"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."}}