{"id":"W2915071437","doi":"10.1109/msp.2016.103","title":"Security &amp;amp; Privacy Week Interviews, Part 1","year":2016,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Information privacy; Information security; Information assurance; Cryptography; Library science; Internet privacy; Computer security; Political science; Computer science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00322713,0.0006162348,0.0007224515,0.0002996007,0.001331905,0.0004408318,0.003308096,0.0005691612,0.003097645],"category_scores_gemma":[0.00481141,0.000518793,0.0004623376,0.0008675312,0.000921756,0.002302549,0.001381721,0.0007612138,0.005106832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922828,"about_ca_system_score_gemma":0.0005088365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600734,"about_ca_topic_score_gemma":0.01087518,"domain_scores_codex":[0.9934153,0.001371655,0.001027442,0.001306099,0.001331084,0.001548439],"domain_scores_gemma":[0.9951468,0.0004835008,0.0005134995,0.002648598,0.0004106825,0.0007969057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004059891,0.002573537,0.006400135,0.0003554838,0.0002965668,0.00004468325,0.1356498,4.537923e-7,0.004027286,0.0289013,0.7580875,0.06325726],"study_design_scores_gemma":[0.0009116639,0.00006887007,0.0003684374,0.0002071574,0.0000478465,0.00001073853,0.0003449668,0.000002916096,0.001431415,0.1446991,0.8512151,0.0006917848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186044,0.001920091,0.00809494,0.03538265,0.007748147,0.002580643,0.0005365263,0.001722222,0.02341038],"genre_scores_gemma":[0.9894442,0.003572077,0.000614568,0.000924863,0.003137466,0.000170368,0.00007853557,0.0000779484,0.00197996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353048,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06683814854286566,"score_gpt":0.3319139964270986,"score_spread":0.265075847884233,"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."}}