{"id":"W1533212645","doi":"10.3386/w11885","title":"Contractual Versus Generic Outsourcing: The Role of Proximity","year":2005,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outsourcing; Business; Industrial organization; 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":[0.001772285,0.000185577,0.0004126996,0.0008230311,0.00142555,0.002266516,0.0006552265,0.0006223847,0.01193485],"category_scores_gemma":[0.01696604,0.0001567371,0.0003643248,0.002204948,0.002331864,0.00275595,0.002916322,0.000733302,0.000540104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010922,"about_ca_system_score_gemma":0.001025173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005798715,"about_ca_topic_score_gemma":0.007546869,"domain_scores_codex":[0.9978756,0.0008925898,0.0001334214,0.0002810054,0.0004232447,0.0003941227],"domain_scores_gemma":[0.9761295,0.01061326,0.007861834,0.001435642,0.001186305,0.002773399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005894714,0.0002972287,0.7797706,0.0002653226,0.0001641028,0.0009224021,0.008054373,0.00793935,0.001306598,0.1473917,0.002302902,0.05099596],"study_design_scores_gemma":[0.000128349,0.0004990359,0.8635581,0.0002610212,0.0002686121,0.001454935,0.02206012,0.01356008,0.001243787,0.08273832,0.0141582,0.00006947153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523947,0.001023554,0.004876409,0.001609381,0.00001666696,0.0000478937,0.0002443118,0.00001301422,0.03977396],"genre_scores_gemma":[0.9984394,0.0001882536,0.0003052384,0.00004259767,0.0000128477,0.00000799831,0.00004492483,0.000002984643,0.0009557541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193485,"threshold_uncertainty_score":0.03992605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3338414410246378,"score_gpt":0.4228602211470615,"score_spread":0.0890187801224237,"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."}}