{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008680781,0.0005397173,0.0003079197,0.0006046909,0.01418482,0.004045337,0.0006958313,0.008089084,0.04028987],"category_scores_gemma":[0.01876221,0.0007266866,0.0003877686,0.0007269859,0.002473723,0.006512542,0.003491108,0.01225147,0.007624305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004770841,"about_ca_system_score_gemma":0.003021691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008880786,"about_ca_topic_score_gemma":0.01337563,"domain_scores_codex":[0.9954595,0.002286134,0.0001489049,0.0002658161,0.0006713288,0.001168329],"domain_scores_gemma":[0.9878041,0.006239467,0.0005246004,0.0004054676,0.001968147,0.003058186],"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":[0.0001513143,0.0002478289,0.002107154,0.0001928897,0.000006121219,0.0006480982,0.1141728,0.00021707,0.001977665,0.01979068,0.8321282,0.02836023],"study_design_scores_gemma":[0.000006429188,0.00004782291,0.001692373,0.00006823908,0.000001201031,0.00008938442,0.04947118,0.0001230619,0.0004744783,0.001195538,0.9468008,0.00002956732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1147283,0.002532915,0.01005783,0.6249877,0.01321982,0.001328851,0.002922756,0.0004159924,0.2298058],"genre_scores_gemma":[0.3267785,0.00189609,0.003713338,0.1725972,0.002323441,0.002384004,0.0006837084,0.000483805,0.4891399],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04028987,"threshold_uncertainty_score":0.1347831,"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."}}