{"id":"W2911633635","doi":"10.1093/ahr/rhy463","title":"G<scp>regory</scp> S. K<scp>ealey</scp>. <i>Spying on Canadians: The Royal Canadian Mounted Police Security Service and the Origins of the Long Cold War</i>.","year":2018,"lang":"en","type":"article","venue":"The American Historical Review","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Espionage; Politics; National security; Context (archaeology); Security service; Security studies; Political science; Service (business); Law; Sociology; Public administration; History; Computer security; Information security; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008200887,0.0003851225,0.000963231,0.00004545534,0.005481692,0.0000740587,0.001184788,0.00004757909,0.00008168518],"category_scores_gemma":[0.0007852171,0.0001552819,0.0004263149,0.0007682256,0.00226589,0.0000653874,0.0001600547,0.0005889943,0.00009461564],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004980156,"about_ca_system_score_gemma":0.0002326157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9631411,"about_ca_topic_score_gemma":0.9082266,"domain_scores_codex":[0.9970921,0.000683067,0.0005649646,0.0003976822,0.0005725786,0.0006896598],"domain_scores_gemma":[0.9961424,0.001657785,0.0005961162,0.0008270989,0.000434952,0.0003416481],"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":[0.000008780157,0.00005673944,0.000288053,0.0003075417,0.0003937744,0.000003969854,0.1506136,0.000005517274,0.000002058184,0.04796278,0.7984304,0.001926809],"study_design_scores_gemma":[0.0001569956,0.0000801407,0.0002208148,0.0002131511,0.0005690894,0.000002467386,0.006408227,0.00006994998,0.000001144556,0.0001704494,0.9920251,0.00008240542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3662418,0.2706767,0.000007382514,0.2887449,0.001997154,0.003135669,0.0002856777,0.0001389752,0.06877171],"genre_scores_gemma":[0.8616818,0.05383291,0.000004510799,0.06427976,0.001600739,0.000166969,0.000006803699,0.00005621482,0.01837032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4954399,"threshold_uncertainty_score":0.9988396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603499547989267,"score_gpt":0.2265957463473214,"score_spread":0.2105607508674287,"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."}}