{"id":"W2136201515","doi":"10.1145/1641587.1641594","title":"A case study of enterprise identity management system adoption in an insurance organization","year":2009,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Identity management; Focus (optics); Identity (music); Computer science; Enterprise system; Point (geometry); Process management; Knowledge management; Business; Computer security; Access control; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001995346,0.00005087589,0.00007137566,0.0001290614,0.00004085107,0.00008285134,0.0002413943,0.00001674192,0.000003479013],"category_scores_gemma":[0.000002159868,0.00004865422,0.000008079845,0.0006171145,0.000002819284,0.001954127,0.00005394131,0.0000317207,0.000009248833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004769985,"about_ca_system_score_gemma":0.000005669817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282804,"about_ca_topic_score_gemma":0.0003014201,"domain_scores_codex":[0.99934,0.00005059676,0.0002487098,0.0001135583,0.0001773078,0.0000698139],"domain_scores_gemma":[0.9995279,0.000002324495,0.00007566551,0.000273038,0.00009561601,0.00002542073],"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":[0.00002027215,0.004274081,0.2011804,0.0002258024,0.00002093122,0.002001729,0.1058582,0.001616578,0.00006454276,0.6175339,0.00005223639,0.06715143],"study_design_scores_gemma":[0.00230457,0.0005652783,0.871235,0.00005715151,0.00000796635,0.0005179231,0.03418797,0.09039559,0.0002405008,0.0002166342,0.00001142768,0.0002600235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7810981,0.000001400896,0.2175665,0.000009481592,0.00005996561,0.0002195697,1.999924e-7,0.00007263093,0.0009721188],"genre_scores_gemma":[0.9980062,0.000001128362,0.001911905,0.00006291052,0.000003829359,0.000002541089,0.000001074782,0.000001173407,0.000009192418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6700546,"threshold_uncertainty_score":0.1984061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004538760526291,"score_gpt":0.2424487765860866,"score_spread":0.2324033889808237,"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."}}