{"id":"W2622836582","doi":"10.1093/oxfordhb/9780195375886.003.0010","title":"Signals Intelligence in War and Power Politics, 1914–2010","year":2010,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Intelligence analysis; Diplomacy; Politics; Power (physics); Military intelligence; Aside; Political science; Computer security; SIGNAL (programming language); Reliability (semiconductor); Computer science; Public relations; Telecommunications; Law","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004359817,0.0003955573,0.0004526424,0.0003551642,0.0005160745,0.00008949415,0.0009043877,0.001117232,0.0003992468],"category_scores_gemma":[0.00005496008,0.0004854185,0.0001495962,0.00002387034,0.00163316,0.0001897781,0.0003703238,0.001316854,0.000008358286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201485,"about_ca_system_score_gemma":0.0003845787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005253468,"about_ca_topic_score_gemma":0.007255834,"domain_scores_codex":[0.9978171,0.0001025191,0.0003041407,0.0006267724,0.0005028538,0.0006466322],"domain_scores_gemma":[0.9985616,0.0002114468,0.0002270801,0.0004249255,0.0002409225,0.0003340739],"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":[0.00002590647,0.00001526013,0.00002169266,0.00002624476,0.00003167966,0.0001545596,0.007716457,0.0000012184,0.00001944579,0.9897795,0.000145833,0.002062186],"study_design_scores_gemma":[0.00009366217,0.00005990719,0.00001170399,0.000116431,0.00004552586,0.000003478744,0.001672917,0.0000101121,0.0003432987,0.04134737,0.9557827,0.000512866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009729606,0.00017672,0.0001716468,0.00008002959,0.0005883287,0.0005323491,0.00009680814,0.00009311905,0.997288],"genre_scores_gemma":[0.04567618,0.001426569,0.0003226115,0.00008833763,0.0001983959,8.705441e-7,0.00000998866,0.00004409434,0.952233],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9556369,"threshold_uncertainty_score":0.9997597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944855398962089,"score_gpt":0.2566563704020668,"score_spread":0.2272078164124459,"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."}}