{"id":"W1811304073","doi":"10.24908/ss.v13i2.5710","title":"Before and After Snowden","year":2015,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Security Agency","keywords":"Secrecy; Transparency (behavior); Openness to experience; Accountability; Agency (philosophy); Context (archaeology); War on terror; United States National Security Agency; National security; Political science; Reading (process); Iraq war; Law; Computer security; Public administration; Sociology; Terrorism; Computer science; Social science; History; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372425,0.000124539,0.0001666166,0.00001141622,0.000239516,0.0001119528,0.0002019086,0.0001645683,0.0001189181],"category_scores_gemma":[0.0001448696,0.0001181253,0.0001029518,0.0002407438,0.0005527958,0.0001824007,0.00007162344,0.0001700399,0.00009988933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363082,"about_ca_system_score_gemma":0.0002572182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890411,"about_ca_topic_score_gemma":0.02556567,"domain_scores_codex":[0.9985611,0.0001557654,0.0001543318,0.0002705999,0.0004272752,0.0004308791],"domain_scores_gemma":[0.9992698,0.00004845296,0.00005326129,0.0001796403,0.0002161208,0.0002327343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002657841,0.00004764053,0.6601067,0.00002468,0.00004275382,0.00001202381,0.2895574,0.00000321459,0.00001050568,0.02050022,0.02332193,0.006346314],"study_design_scores_gemma":[0.0007126773,0.0002209802,0.322161,0.00003395063,0.000016061,0.00001032447,0.09951475,0.0002266386,0.00008217107,0.06053971,0.5155512,0.0009305446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495113,0.001405236,0.0001641584,0.002368133,0.00074281,0.0002644024,0.0000272433,0.0001779466,0.0453388],"genre_scores_gemma":[0.9969141,0.0002524012,0.0003846721,0.0003961949,0.0005271557,0.00001703772,0.000004613781,0.00001333085,0.001490455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4922293,"threshold_uncertainty_score":0.9922152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355309802929875,"score_gpt":0.3052011131163782,"score_spread":0.2816480150870794,"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."}}