{"id":"W3106790418","doi":"10.21810/jicw.v3i2.2407","title":"Privacy and Security","year":2020,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Internet privacy; Computer security; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654206,0.00007742707,0.0001409108,0.00002979793,0.0003981402,0.00008947209,0.0004364067,0.00005786386,0.00007647573],"category_scores_gemma":[0.001129367,0.00005149861,0.00003370327,0.0001460356,0.0003149848,0.000327852,0.0001758471,0.0002898433,0.00000599771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000140526,"about_ca_system_score_gemma":0.00006845019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502805,"about_ca_topic_score_gemma":0.00005290535,"domain_scores_codex":[0.9991184,0.0001876333,0.0002321486,0.00007977232,0.0002370294,0.0001450135],"domain_scores_gemma":[0.9992238,0.0001558622,0.000171594,0.0001014487,0.0001556164,0.0001917205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005574466,0.00007383674,0.006044412,0.0001221331,0.0001089506,0.00002999354,0.817451,0.000008159906,0.001209974,0.02559218,0.007939924,0.140862],"study_design_scores_gemma":[0.0003466811,0.0007307736,0.002514407,0.0001275052,0.000121697,0.0001236961,0.0835787,0.0006845447,0.005821005,0.03755463,0.8680446,0.0003517238],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099898,0.01311793,0.00839395,0.06515014,0.0003764692,0.0003518991,0.00001424709,0.00003942252,0.00256612],"genre_scores_gemma":[0.9831439,0.01556465,0.00008980176,0.0007917514,0.0003859192,5.084092e-7,3.827403e-7,0.00000402566,0.00001901281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8601047,"threshold_uncertainty_score":0.3062213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481951035531056,"score_gpt":0.3276602872395169,"score_spread":0.2628407768842064,"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."}}