{"id":"W4244584788","doi":"10.1002/9781118885154.dipl0074","title":"Deterrence and Diplomacy","year":2018,"lang":"en","type":"other","venue":"The Encyclopedia of Diplomacy","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Sanctions; Persuasion; Diplomacy; Adversary; Action (physics); Deterrence (psychology); Deterrence theory; Politics; Economic sanctions; Political science; Law and economics; Value (mathematics); Political action; Political economy; Economics; Criminology; Computer security; Social psychology; Law; Sociology; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003217322,0.0002353375,0.0003058101,0.00009489798,0.0002282972,0.00003325445,0.0006428746,0.0001463603,0.002905007],"category_scores_gemma":[0.0002401988,0.0001568067,0.00008277406,0.0001694256,0.002790411,0.00007223359,0.0001553784,0.0001668986,0.0005231233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001332662,"about_ca_system_score_gemma":0.000160414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787583,"about_ca_topic_score_gemma":0.000844663,"domain_scores_codex":[0.9983675,0.0003173123,0.0002514859,0.0003029389,0.0003481815,0.0004125139],"domain_scores_gemma":[0.9989675,0.0002429214,0.0001581244,0.0004240556,0.00003368676,0.0001736918],"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":[0.0000146041,0.00006055371,0.001329964,0.0001100449,0.00008472044,0.00001354381,0.005842413,2.507229e-8,0.000002094074,0.5164153,0.469577,0.006549712],"study_design_scores_gemma":[0.0001147161,0.00005561466,0.001613416,0.0001703387,0.00005146389,0.000001177,0.001071971,5.967167e-7,0.0000016229,0.02660313,0.9701059,0.0002100192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005778228,0.002847576,0.000008271209,0.0002864325,0.0003367662,0.0003046613,0.00001970629,0.0001709381,0.9954478],"genre_scores_gemma":[0.01798896,0.01236916,0.0002935365,0.0001093839,0.002027761,0.000009084453,0.000004780813,0.0001733278,0.967024],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5005289,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243137034375717,"score_gpt":0.2989068913316676,"score_spread":0.2864755209879105,"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."}}