{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006420847,0.0008540009,0.0008122231,0.001620468,0.008496038,0.01649657,0.0008487477,0.00783421,0.01800982],"category_scores_gemma":[0.008882448,0.0004061642,0.0007141668,0.002084302,0.04875566,0.01438764,0.008413785,0.008677578,0.004282847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006345749,"about_ca_system_score_gemma":0.008244324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007410951,"about_ca_topic_score_gemma":0.004184451,"domain_scores_codex":[0.9862654,0.006913603,0.0005569198,0.00209675,0.002541514,0.001625835],"domain_scores_gemma":[0.9943224,0.002644137,0.0004940337,0.001311401,0.0006768036,0.000551174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009043869,0.000008152583,0.0003110619,0.00006723541,0.000008865512,0.00005729993,0.00276759,0.00009387133,0.00006698907,0.9635091,0.01852159,0.01457918],"study_design_scores_gemma":[0.000009406599,0.000033588,0.0007843634,0.0006684953,0.00001069461,0.0004086356,0.003224845,0.0001290793,0.0001829126,0.5310426,0.4634816,0.00002382162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007427047,0.05535904,0.01017425,0.1467458,0.001834741,0.00006372439,0.0002643096,0.0001098995,0.7780213],"genre_scores_gemma":[0.7444503,0.05419736,0.005559994,0.05997071,0.003598007,0.000262564,0.0003209142,0.0001717484,0.1314684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01800982,"threshold_uncertainty_score":0.06024885,"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."}}