{"id":"W4416487810","doi":"10.5040/9798216403838","title":"Historical Dictionary of Cold War Intelligence","year":2021,"lang":"","type":"book","venue":"Rowman & Littlefield eBooks","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cold war; Prism; Section (typography); Period (music); Intelligence analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003750263,0.0009675366,0.0005236394,0.005088904,0.003224385,0.006315785,0.0008420728,0.0008949823,0.07087768],"category_scores_gemma":[0.001577231,0.0003629927,0.0002361225,0.007762575,0.002569369,0.004373769,0.00148229,0.002470063,0.03663195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0042502,"about_ca_system_score_gemma":0.003745791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01828745,"about_ca_topic_score_gemma":0.03130647,"domain_scores_codex":[0.9994608,0.0001192119,0.00003461199,0.00006044727,0.000272672,0.00005217285],"domain_scores_gemma":[0.9992511,0.0002596521,0.00006056175,0.0000717021,0.0002784932,0.00007854887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001192629,0.000009834848,0.00009389935,0.0002089398,0.000002343479,0.00006497664,0.002074965,0.0001152518,0.00008521534,0.1191934,0.8225546,0.05558455],"study_design_scores_gemma":[4.610561e-7,0.000001005258,0.00008414947,0.0001175921,4.242323e-7,0.00003191852,0.0001377153,0.00001074494,0.00001169379,0.001673323,0.9979295,0.000001529902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004894237,0.04147366,0.00102556,0.004190062,0.002969655,0.00003805996,0.001114274,0.0001459759,0.9485534],"genre_scores_gemma":[0.009997463,0.05255539,0.001859147,0.003394259,0.002079713,0.0001273409,0.002455929,0.0003562504,0.9271746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07087768,"threshold_uncertainty_score":0.2371094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902613733370142,"score_gpt":0.2830683457543025,"score_spread":0.2440422084206011,"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."}}