{"id":"W4413514868","doi":"10.24908/cmj.v23i1.19394","title":"Top Secret Canada Understanding the Canadian Intelligence and National Security Community","year":2023,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"National security; Computer security; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003839964,0.0001552468,0.0001422179,0.0003780458,0.00881597,0.0002122798,0.0007696763,0.0001434902,0.0005666912],"category_scores_gemma":[0.0008741082,0.0001459664,0.00005197948,0.0008773303,0.0006941777,0.0002561192,0.00003798641,0.001379346,0.00002594789],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007835149,"about_ca_system_score_gemma":0.03576845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999194,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9970434,0.0008142526,0.0002862892,0.0001625363,0.000720799,0.000972664],"domain_scores_gemma":[0.9971694,0.0004598785,0.00004847595,0.0001822958,0.0003267593,0.001813219],"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":[0.00001007515,0.00001132462,0.02039278,0.0000281819,0.0001198282,0.0008184669,0.1377496,0.0009209075,0.000001846018,0.6732635,0.1649634,0.001720017],"study_design_scores_gemma":[0.00007797052,0.00005438329,0.008322974,0.00005698284,0.00001767936,0.0002307,0.3267694,0.001530724,0.000006831568,0.5058883,0.1565993,0.0004448479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6282458,0.002432756,0.000130994,0.06342092,0.003858077,0.000732498,0.0008106845,0.00008204318,0.3002862],"genre_scores_gemma":[0.9968426,0.0003515159,0.00001316888,0.002113657,0.0003590741,0.000003476214,0.00002161028,0.00001259397,0.0002822982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3685968,"threshold_uncertainty_score":0.9959736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08822981168055401,"score_gpt":0.3071308904405975,"score_spread":0.2189010787600435,"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."}}