{"id":"W4411613441","doi":"10.1111/capa.70020","title":"National Security During the First AI Revolution: The Case for Transforming Canada's Security Apparatus","year":2025,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Terrorism; National security; Agency (philosophy); Social media; Business; Political science; Democracy; Public administration; Patriot Act; Law; Sociology; Politics","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":[0.005742607,0.0003633203,0.0004922774,0.002637629,0.03988794,0.01740508,0.002637448,0.005462787,0.01169782],"category_scores_gemma":[0.01530963,0.0003662366,0.0005759392,0.003647926,0.01568069,0.004366354,0.005112046,0.009955106,0.0007026386],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3044634,"about_ca_system_score_gemma":0.5145999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977133,"about_ca_topic_score_gemma":0.9985065,"domain_scores_codex":[0.9887158,0.001160365,0.0001855338,0.000518064,0.003349648,0.006070516],"domain_scores_gemma":[0.9788975,0.002331773,0.0007089637,0.0006796316,0.009497616,0.007884688],"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":[0.0001171576,0.0001209435,0.01317578,0.0002284301,0.00003984619,0.0009973572,0.03127509,0.001185984,0.0004300336,0.7034724,0.1939245,0.05503242],"study_design_scores_gemma":[0.00005106908,0.00004257067,0.01906898,0.0006408149,0.00004688973,0.0001687722,0.06086601,0.001120252,0.0003871555,0.02904069,0.8884143,0.0001523446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1178337,0.006205698,0.001205483,0.4698611,0.001583579,0.000169895,0.0004794907,0.0001073425,0.4025536],"genre_scores_gemma":[0.8789789,0.004378365,0.001363433,0.04296146,0.0002010909,0.00006799428,0.0001798069,0.0000846514,0.07178441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3044634,"threshold_uncertainty_score":0.806724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256398754828721,"score_gpt":0.2498411333893149,"score_spread":0.2372771458410276,"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."}}