{"id":"W1519868532","doi":"10.2139/ssrn.1677560","title":"Returns to Information Technology Outsourcing","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Outsourcing; Business; Information technology; Industrial organization; Commerce; Computer science; 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":[0.001365813,0.0003180441,0.00050041,0.001668419,0.0006072445,0.002904994,0.0005523725,0.001385694,0.0284181],"category_scores_gemma":[0.01163104,0.0001932891,0.0006326251,0.001827813,0.0009044731,0.002171505,0.001202771,0.001752046,0.003807345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633945,"about_ca_system_score_gemma":0.001548977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133395,"about_ca_topic_score_gemma":0.006086622,"domain_scores_codex":[0.9988704,0.0002310961,0.00004962255,0.00007584698,0.0002170222,0.0005558466],"domain_scores_gemma":[0.9846447,0.006151951,0.003857115,0.001015063,0.001319141,0.003012177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009132125,0.002237578,0.5667363,0.0005559328,0.0006117903,0.002439058,0.001644183,0.03338574,0.005694185,0.1729281,0.02851641,0.1761185],"study_design_scores_gemma":[0.0002902197,0.00113572,0.8557266,0.0001932288,0.0004148389,0.001250503,0.007090346,0.009326268,0.004762456,0.09681403,0.02290151,0.00009432635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940174,0.001335104,0.0005911887,0.005537113,0.00008166596,0.0000194578,0.001273894,0.0001003798,0.05088714],"genre_scores_gemma":[0.9895364,0.000554677,0.00005293435,0.0001327261,0.00007892137,0.000004755956,0.0003310053,0.00001101758,0.009297522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0284181,"threshold_uncertainty_score":0.09506798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003172351614509035,"score_gpt":0.1911741440232614,"score_spread":0.1880017924087523,"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."}}