{"id":"W3201761641","doi":"10.1177/00207020211048430","title":"The Canadian national intelligence culture: A minimalist and defensive national intelligence apparatus","year":2021,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Operationalization; Offensive; Intelligence analysis; Intelligence cycle; Military intelligence; Strategic intelligence; Cold war; Organizational culture; Sociology; Political science; Human intelligence; Public relations; Epistemology; Management; Knowledge management; Artificial intelligence; Law; Computer science; Politics; Economics","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002387737,0.0002714348,0.0004063865,0.0005183724,0.001833088,0.001553796,0.00151371,0.0001764557,0.0002517464],"category_scores_gemma":[0.007072706,0.0002277944,0.0004556274,0.002533617,0.0006561642,0.0005473348,0.0001071255,0.000792169,0.000007804108],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008797682,"about_ca_system_score_gemma":0.04802453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9041147,"about_ca_topic_score_gemma":0.9987507,"domain_scores_codex":[0.9925747,0.0005495378,0.001237445,0.0002880492,0.004675309,0.0006749576],"domain_scores_gemma":[0.9817162,0.00047555,0.00100309,0.0001262443,0.0156677,0.001011225],"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":[0.0001661218,0.0001010199,0.005703792,0.000005427925,0.00620639,0.002114847,0.002660817,0.009494156,0.00001424469,0.8643771,0.1008412,0.008314885],"study_design_scores_gemma":[0.000220438,0.00008760442,0.005428271,0.00007491125,0.0005301092,0.004212199,0.01226715,0.001235251,0.0001971238,0.2181556,0.7570122,0.000579171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04433674,0.03078319,0.01120477,0.7056331,0.01207186,0.0005409314,0.002499149,0.00004818659,0.1928821],"genre_scores_gemma":[0.9895501,0.002447953,0.0005085314,0.004600646,0.002347535,0.000001933183,0.00001477462,0.0000100308,0.0005184873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9452134,"threshold_uncertainty_score":0.9994827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415885062367221,"score_gpt":0.3622396371499133,"score_spread":0.3380807865262411,"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."}}