{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489294,0.0005701429,0.0003752658,0.001159891,0.001433013,0.004095963,0.0005717055,0.002201016,0.01797247],"category_scores_gemma":[0.006446404,0.0001678244,0.0002536048,0.001362065,0.005539098,0.001923976,0.002830353,0.001954094,0.00244903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875969,"about_ca_system_score_gemma":0.001780163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328358,"about_ca_topic_score_gemma":0.001673145,"domain_scores_codex":[0.9975292,0.0009956581,0.0001314563,0.0003707764,0.0005796335,0.0003933788],"domain_scores_gemma":[0.9969708,0.001252507,0.0008317324,0.0002392311,0.0004457922,0.0002599168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003336935,0.00005744472,0.00231091,0.0002529982,0.00001181598,0.0001687579,0.001152753,0.000595655,0.0001507503,0.9302794,0.006950971,0.05803506],"study_design_scores_gemma":[0.00004528813,0.0001609841,0.009867809,0.0008125136,0.00002056251,0.001160543,0.00194725,0.001374265,0.000644562,0.5278022,0.4561253,0.00003872461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04381761,0.02277691,0.0119929,0.01073618,0.0005497067,0.0001147931,0.0002017631,0.00004620132,0.9097638],"genre_scores_gemma":[0.8771621,0.01713955,0.002787268,0.002533298,0.0005974359,0.0001327324,0.0001688806,0.00003182298,0.09944698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01797247,"threshold_uncertainty_score":0.06012392,"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."}}