{"id":"W3107980100","doi":"10.1007/978-94-6265-419-8_21","title":"New Technologies and Deterrence: Artificial Intelligence and Adversarial Behaviour","year":2020,"lang":"en","type":"book-chapter","venue":"NL ARMS","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Coercion (linguistics); Offensive; Action (physics); Pace; Politics; Deterrence theory; Deterrence (psychology); Adversarial system; Punishment (psychology); Law and economics; Political science; Espionage; Criminology; Computer security; Social psychology; Psychology; Economics; Law; Computer science; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001351795,0.0002313406,0.0003114652,0.00007190846,0.0004184214,0.0001213459,0.0002276225,0.0004197569,0.0001692518],"category_scores_gemma":[0.0001483615,0.000227295,0.00006640873,0.00004872402,0.0009376994,0.0001020395,0.0002932934,0.000451406,0.00004875769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003927743,"about_ca_system_score_gemma":0.0001391873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068642,"about_ca_topic_score_gemma":0.01016179,"domain_scores_codex":[0.9987933,0.00001510642,0.0002198768,0.0004336472,0.0003094293,0.0002286468],"domain_scores_gemma":[0.999527,0.00008002202,0.000109826,0.0001258419,0.00004234919,0.0001149546],"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":[0.00001967964,0.000004945642,0.00013718,0.000009351309,0.00003406264,0.0000266501,0.01948688,8.984621e-8,0.000002270612,0.5135057,0.001305642,0.4654676],"study_design_scores_gemma":[0.00007566506,0.0001343926,0.00008439726,0.0001212239,0.0001499977,0.000003974861,0.03189897,0.00000367041,0.00005195543,0.7387204,0.2282044,0.0005508955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002418788,0.01508825,0.001426224,0.04085999,0.003431953,0.001543421,0.0001339908,0.001566145,0.9335312],"genre_scores_gemma":[0.9221203,0.01315213,0.00160103,0.0002487508,0.00187763,0.00001743006,0.0000165552,0.00005544849,0.06091068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9197016,"threshold_uncertainty_score":0.9268821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04994573621080801,"score_gpt":0.2919996263785379,"score_spread":0.2420538901677299,"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."}}