{"id":"W2110265325","doi":"10.1002/cjas.1315","title":"Outsourcing Canadian Armed Forces logistics in a foreign theatre","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; HEC Montréal","funders":"","keywords":"Outsourcing; Adaptability; Competence (human resources); Exploratory analysis; Business; Armed conflict; Order (exchange); Exploratory research; Knowledge management; Management; Political science; Sociology; Computer science; Marketing; Economics; Law; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00192691,0.0004149976,0.000203881,0.00134077,0.01432389,0.004244992,0.001062484,0.000663959,0.009740017],"category_scores_gemma":[0.003239806,0.0002135694,0.0002833177,0.003403436,0.003730735,0.001267782,0.003003647,0.001137125,0.00049649],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05791611,"about_ca_system_score_gemma":0.08737418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465299,"about_ca_topic_score_gemma":0.9742677,"domain_scores_codex":[0.9977092,0.0004832381,0.0000405057,0.0001289454,0.0005867973,0.001051299],"domain_scores_gemma":[0.997978,0.0003155444,0.0002166617,0.00009267253,0.0006838375,0.0007132652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005190039,0.0003100367,0.07594421,0.0008481786,0.0000631687,0.007983083,0.4830195,0.005728301,0.005791934,0.1232854,0.06267162,0.2338356],"study_design_scores_gemma":[0.0000213084,0.0001289136,0.04403015,0.0003434486,0.00002709676,0.0008559051,0.6166815,0.001358047,0.0009818013,0.001797854,0.3336788,0.00009505731],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260078,0.001731736,0.002215799,0.00526228,0.0001874888,0.0001632086,0.000303425,0.00005381048,0.1640745],"genre_scores_gemma":[0.9858542,0.001225552,0.000674083,0.0002380922,0.00001609809,0.00002042169,0.00008075795,0.00001198715,0.01187875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9420839,"threshold_uncertainty_score":0.4202127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126443695444897,"score_gpt":0.2995162489368937,"score_spread":0.1730725534919966,"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."}}