{"id":"W1534876870","doi":"10.1017/cbo9781139208727","title":"Mercenaries in Asymmetric Conflicts","year":2012,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Military History and Strategy","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Loyalty; Democracy; Political science; Balance (ability); Psychology; Engineering; Public relations; Computer security; Law; Computer science; Politics","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":[0.0003203945,0.0003875348,0.000167946,0.0005703828,0.001697224,0.002618975,0.0003716288,0.0009421163,0.01057736],"category_scores_gemma":[0.0006714506,0.0001684474,0.0001343129,0.0005649587,0.003204286,0.003600415,0.001654628,0.001473848,0.002041981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263927,"about_ca_system_score_gemma":0.0006963402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469899,"about_ca_topic_score_gemma":0.003245021,"domain_scores_codex":[0.9997798,0.00007942262,0.000005813746,0.00002009239,0.00006482409,0.000050112],"domain_scores_gemma":[0.9998784,0.000050201,0.00001632745,0.00001297836,0.00001413724,0.00002788035],"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":[0.00002956236,0.00003127075,0.000347469,0.00008335152,0.000005662851,0.0002533676,0.00779923,0.0004408202,0.0002713792,0.8411486,0.07083931,0.07874989],"study_design_scores_gemma":[0.000009038752,0.0000228395,0.0008077258,0.0002257969,0.000004121763,0.0003757181,0.002428283,0.0003173352,0.0001873937,0.1931397,0.8024731,0.000009005043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01307741,0.03390285,0.001954997,0.009049842,0.001055751,0.00001504304,0.00001578488,0.00003924461,0.940889],"genre_scores_gemma":[0.4147835,0.02281998,0.001153243,0.002042709,0.0009465484,0.00003318231,0.00005309815,0.00005629234,0.5581115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01057736,"threshold_uncertainty_score":0.03538477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819969218334002,"score_gpt":0.236295396488183,"score_spread":0.198095704304843,"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."}}