{"id":"W2085148999","doi":"10.1049/iet-sen.2013.0204","title":"Analysis of risks faced by information technology offshore outsourcing service providers","year":2014,"lang":"en","type":"article","venue":"IET Software","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Thompson Rivers University","funders":"","keywords":"Outsourcing; Service provider; Offshore outsourcing; Business; Submarine pipeline; Process management; Service (business); Engineering management; Offshoring; Computer science; Knowledge management; Risk analysis (engineering); 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":[0.003960744,0.000284143,0.0002628919,0.002230603,0.00215782,0.001882615,0.0003943175,0.0008116768,0.001913772],"category_scores_gemma":[0.01984899,0.00023124,0.0005199324,0.002085815,0.0007512194,0.001265891,0.001423937,0.0007673904,0.0002449312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286064,"about_ca_system_score_gemma":0.003323761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593919,"about_ca_topic_score_gemma":0.006147361,"domain_scores_codex":[0.9960234,0.00145624,0.0002905973,0.000115557,0.001515864,0.0005983143],"domain_scores_gemma":[0.983039,0.007980141,0.003980047,0.0003136641,0.003438056,0.001249119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007343801,0.0003805005,0.7958473,0.0003369141,0.0001340739,0.004731396,0.09976248,0.005744177,0.003890962,0.01397669,0.004099805,0.07036122],"study_design_scores_gemma":[0.00003078829,0.0008931065,0.5328779,0.000555452,0.0001958471,0.003681381,0.4148664,0.01592614,0.002614384,0.006575464,0.02160745,0.0001756724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992351,0.0001520423,0.001084615,0.0009362424,0.000008425824,0.00005801274,0.00006191794,0.000008378531,0.005339389],"genre_scores_gemma":[0.9986419,0.0002070205,0.0004582047,0.00004854637,0.000005954578,0.00002291282,0.000043521,0.00000274593,0.0005691544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007593919,"threshold_uncertainty_score":0.02094668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206197189623059,"score_gpt":0.2277397208249903,"score_spread":0.2156777489287597,"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."}}