{"id":"W2946662802","doi":"10.21810/jicw.v2i1.951","title":"The Subtle Knife","year":2019,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deterrence theory; Nuclear weapon; Rationality; Computer security; CLARITY; Nuclear ethics; Law and economics; Unintended consequences; Political science; Computer science; Law; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003003827,0.0009433001,0.0005412339,0.001808852,0.006863788,0.009494628,0.001658844,0.004067048,0.05098251],"category_scores_gemma":[0.009285951,0.0004619893,0.0006919186,0.001037327,0.02604976,0.01353486,0.01035311,0.008871951,0.01001011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004460255,"about_ca_system_score_gemma":0.003457009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005689121,"about_ca_topic_score_gemma":0.008325576,"domain_scores_codex":[0.996859,0.0009548025,0.0001008238,0.0007946965,0.0008637676,0.0004269058],"domain_scores_gemma":[0.997269,0.0009342791,0.0002027204,0.0007279373,0.0005262544,0.0003397775],"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":[0.00002625898,0.00001529811,0.0004064583,0.00005681516,0.00001012635,0.0002456828,0.004012776,0.0001523531,0.0002638851,0.9207382,0.04911448,0.02495776],"study_design_scores_gemma":[0.00001003615,0.00002468416,0.0004141355,0.000176097,0.000009491693,0.0005647759,0.004870948,0.0003866352,0.0002876931,0.2824274,0.7108061,0.00002196659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01070207,0.005540019,0.03149439,0.09567873,0.005108194,0.00007606797,0.0001804693,0.0004129231,0.8508071],"genre_scores_gemma":[0.5305495,0.006239321,0.01839319,0.04949929,0.003076602,0.000194357,0.0002250718,0.0007638939,0.3910587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05098251,"threshold_uncertainty_score":0.1705534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138691195272572,"score_gpt":0.3166534593560104,"score_spread":0.2852665474032846,"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."}}