{"id":"W3156495705","doi":"10.1080/02684527.2021.1911394","title":"Big data surveillance and security intelligence: the Canadian case","year":2021,"lang":"en","type":"article","venue":"Intelligence & National Security","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National security; Big data; Computer security; Political science; Intelligence analysis; Border Security; Computer science; Public administration; Law; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005189973,0.0003711536,0.000347683,0.0002155149,0.002944321,0.0008408719,0.001782695,0.000406467,0.0008536827],"category_scores_gemma":[0.004836197,0.0003472248,0.0001115084,0.001681709,0.001534688,0.0006366141,0.0005638181,0.001010981,0.0002311845],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007018411,"about_ca_system_score_gemma":0.006024119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4396408,"about_ca_topic_score_gemma":0.9755649,"domain_scores_codex":[0.9944456,0.001007871,0.0007245177,0.001133644,0.001664156,0.001024227],"domain_scores_gemma":[0.994701,0.001238302,0.0002098639,0.001009376,0.002165533,0.0006759776],"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":[0.0000154449,0.0001506802,0.003353092,0.00003543659,0.00007972065,0.001430649,0.02106477,0.00006338661,0.000005236389,0.9464044,0.00379097,0.02360622],"study_design_scores_gemma":[0.00005968246,0.00004018033,0.0005173718,0.00004574321,0.00003078422,0.001389504,0.02751185,0.004883179,0.001020699,0.6563768,0.3073117,0.000812482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2283712,0.02872541,0.009898684,0.08556221,0.01452366,0.004455524,0.007110352,0.0008763964,0.6204765],"genre_scores_gemma":[0.9949392,0.00189604,0.0001592507,0.001169866,0.001284261,0.00002751495,0.0001879742,0.00002632457,0.0003095719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.766568,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108549198481542,"score_gpt":0.369305909894684,"score_spread":0.2584509900465298,"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."}}