{"id":"W2902879894","doi":"10.55540/0031-1723.2943","title":"Russia's Military and Security Privatization","year":2018,"lang":"en","type":"article","venue":"The US Army War College Quarterly Parameters","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forces College; Royal Military College of Canada","funders":"","keywords":"Political science; National security; Political economy; Public administration; Computer security; Law; Economics","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":[0.001152277,0.0001357347,0.000267376,0.0006331746,0.001050947,0.002424893,0.000243224,0.0009899187,0.003979463],"category_scores_gemma":[0.002655425,0.0001770871,0.0003511949,0.0006164919,0.001581882,0.00109291,0.00164105,0.001363719,0.0005181378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060974,"about_ca_system_score_gemma":0.003152707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006977563,"about_ca_topic_score_gemma":0.008321982,"domain_scores_codex":[0.9987057,0.0003706655,0.0000477296,0.0002042904,0.0003225331,0.0003490273],"domain_scores_gemma":[0.9990305,0.0002690619,0.0003182083,0.0001687545,0.0001100621,0.0001034551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001090743,0.00003474659,0.01431223,0.00006869395,0.00004351065,0.0002256848,0.001154219,0.004368939,0.001351183,0.9579656,0.00358583,0.01678034],"study_design_scores_gemma":[0.0001129924,0.0003386454,0.2781622,0.0002870314,0.0001428265,0.0008409421,0.002947287,0.01313341,0.003877046,0.2968836,0.4032044,0.00006955017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6390526,0.002240029,0.005269986,0.01130746,0.0001547354,0.00002394628,0.0005931837,0.00012931,0.3412287],"genre_scores_gemma":[0.9860421,0.0003474573,0.000241046,0.0003038367,0.00005906558,0.00001219823,0.00006875153,0.00001173804,0.01291386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006977563,"threshold_uncertainty_score":0.02220911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888037367194018,"score_gpt":0.2202052104506254,"score_spread":0.2013248367786852,"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."}}