{"id":"W1852299943","doi":"10.2139/ssrn.1809925","title":"Litigating State Secrets: A Comparative Study of National Security Privilege in Canadian, U.S. and English Civil Cases","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"State (computer science); Privilege (computing); Political science; National security; Law; Civil litigation; Public administration; Computer security; 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":[],"consensus_categories":[],"category_scores_codex":[0.0040825,0.00009807177,0.0001936221,0.0001419466,0.0003982843,0.00004014032,0.0001709937,0.00007299019,0.00005017733],"category_scores_gemma":[0.0005423534,0.00009733986,0.0000302146,0.0002027081,0.0002305181,0.0002886378,0.00001835175,0.001338552,6.332852e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009533534,"about_ca_system_score_gemma":0.00808489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4953245,"about_ca_topic_score_gemma":0.9978969,"domain_scores_codex":[0.9974468,0.000460374,0.0002893281,0.0001553062,0.0004226888,0.001225532],"domain_scores_gemma":[0.9990081,0.0001943711,0.0001761996,0.00005297556,0.000364136,0.0002042178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002533327,0.0001608095,0.1452717,0.000005234179,0.00007109156,0.00001641885,0.6022761,0.000004196363,0.000002043184,0.2519401,0.00003310479,0.0001938589],"study_design_scores_gemma":[0.001056139,0.0006994934,0.02924653,0.00005210718,0.00001855488,0.00003779927,0.4895826,0.00003086533,0.00001561063,0.4758305,0.003174716,0.0002550488],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785358,0.0007291971,0.000003320672,0.00008697354,0.0001226028,0.0002049208,0.000012434,0.000009753818,0.02029501],"genre_scores_gemma":[0.9992929,0.0003685363,0.000009398917,0.00004231189,0.0001635716,0.000004817162,0.000001198213,0.000006102068,0.0001111242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5025725,"threshold_uncertainty_score":0.9975383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683359409962447,"score_gpt":0.3169858864436039,"score_spread":0.2701522923439794,"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."}}