{"id":"W2067647807","doi":"10.1142/s021759591100303x","title":"MULTIPLE CRITERIA ANALYSIS FOR EVALUATION OF INFORMATION SYSTEM RISK","year":2011,"lang":"en","type":"article","venue":"Asia Pacific Journal of Operational Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outsourcing; Enterprise resource planning; Risk analysis (engineering); Computer science; Information system; Identification (biology); Set (abstract data type); Information technology; Process management; Business; Knowledge management; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0225876,0.002637557,0.002269383,0.01252653,0.001619375,0.003812454,0.001396742,0.001744594,0.005015441],"category_scores_gemma":[0.04348752,0.0005326533,0.002885357,0.008567707,0.001310568,0.001978108,0.002055799,0.002043525,0.0003363958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004751744,"about_ca_system_score_gemma":0.003821289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241597,"about_ca_topic_score_gemma":0.004015744,"domain_scores_codex":[0.9602207,0.02822962,0.001553175,0.0007252858,0.008564998,0.0007061402],"domain_scores_gemma":[0.9634441,0.02914807,0.001671121,0.0006628277,0.004502228,0.0005718192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008865097,0.0005878508,0.01095569,0.00227756,0.00170917,0.0006385144,0.001594806,0.6019534,0.005453517,0.1176856,0.004326727,0.2519306],"study_design_scores_gemma":[0.00008679234,0.0007917163,0.003895378,0.0003496359,0.0002171097,0.0001296624,0.0007622736,0.9515736,0.001279955,0.03702647,0.003765116,0.000122236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0716967,0.003528308,0.9001246,0.000638261,0.0001751364,0.002279009,0.0004768368,0.0002300634,0.02085102],"genre_scores_gemma":[0.5231895,0.00113167,0.4709053,0.00009087269,0.00007483237,0.00231197,0.0003419229,0.00006006582,0.001893772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0225876,"threshold_uncertainty_score":0.1194561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5045986172732625,"score_gpt":0.5336432032935186,"score_spread":0.02904458602025606,"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."}}