{"id":"W4323035143","doi":"10.1080/08850607.2023.2175630","title":"National Security Transparency and Relations with Minority Communities","year":2023,"lang":"en","type":"article","venue":"International Journal of Intelligence and CounterIntelligence","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); National security; Democracy; Political science; Public relations; Work (physics); Corporate governance; Public administration; Business; Politics; Law; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01006976,0.0001448984,0.0001864175,0.0009695026,0.0134202,0.007160799,0.000682367,0.002065754,0.003903881],"category_scores_gemma":[0.01854572,0.0001354007,0.0002116556,0.0006954037,0.01362616,0.006186467,0.01072837,0.003327542,0.0002156616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00392832,"about_ca_system_score_gemma":0.006213464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010631,"about_ca_topic_score_gemma":0.01150337,"domain_scores_codex":[0.989706,0.006737718,0.0002271545,0.0004865546,0.001571648,0.00127096],"domain_scores_gemma":[0.9854533,0.006754131,0.003717765,0.0007937619,0.00101737,0.002263756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007263564,0.0001154536,0.0255035,0.00009109038,0.00002269262,0.0005943166,0.283003,0.0003100658,0.0009398519,0.646385,0.004024775,0.03893771],"study_design_scores_gemma":[0.00005163476,0.0001807575,0.03734198,0.001057593,0.00004705686,0.001059784,0.3686785,0.001919062,0.002046717,0.370824,0.216708,0.00008495306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175081,0.001787209,0.005639619,0.07067735,0.0003134466,0.00005769761,0.00002565537,0.00002082243,0.3039701],"genre_scores_gemma":[0.9970129,0.0001693078,0.000191417,0.000749839,0.00002765907,0.000005824112,0.00000312546,0.000002841511,0.00183715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0134202,"threshold_uncertainty_score":0.0532546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05375352617273632,"score_gpt":0.3580616167085293,"score_spread":0.304308090535793,"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."}}