{"id":"W168995569","doi":"10.25300/misq/2013/37.1.14","title":"Information Technology Outsourcing and Non-It Operating Costs: An Empirical Investigation1","year":2013,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Outsourcing; Business; Panel data; Information technology; Knowledge process outsourcing; Industrial organization; Empirical research; Set (abstract data type); Operations management; Economics; Computer science; Marketing; Econometrics; Statistics; Operating system; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002907803,0.0001785264,0.0001720642,0.0004441977,0.0003119138,0.001120812,0.000189883,0.00009915991,0.0001368645],"category_scores_gemma":[0.00006415874,0.0001652804,0.00002656119,0.0003768888,0.0000722642,0.003389282,0.00004912501,0.0001589576,0.0007434471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003878538,"about_ca_system_score_gemma":0.00001016524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122963,"about_ca_topic_score_gemma":0.00008861424,"domain_scores_codex":[0.9989633,0.00001220994,0.0003550675,0.0001946276,0.0001879505,0.0002868357],"domain_scores_gemma":[0.9994094,0.00002077958,0.0001372343,0.0002533123,0.0001490888,0.00003021422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001273188,0.0001584836,0.402653,0.000531841,0.00008210527,0.000009276057,0.01817151,0.00094379,0.002264868,0.005560677,0.07375177,0.4958599],"study_design_scores_gemma":[0.002017705,0.0002954329,0.08481962,0.0002422568,0.00008399522,0.00001065192,0.1113305,0.7175504,0.00007316613,0.004930119,0.07752914,0.001117029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425032,0.00001198781,0.02377157,0.0234985,0.0001686852,0.0004938294,9.552712e-7,0.0003189039,0.009232381],"genre_scores_gemma":[0.9894633,5.099601e-7,0.001695945,0.008203013,0.0003277833,0.00007226734,0.00004965489,0.00001623123,0.0001713448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7166066,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009255604988317019,"score_gpt":0.2219308415750267,"score_spread":0.2126752365867096,"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."}}