{"id":"W2563270204","doi":"","title":"Security a Privacy Week Interviews, Part 1","year":2016,"lang":"en","type":"article","venue":"IEEE Symposium on Security and Privacy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information privacy; Cryptography; Information security; Information assurance; Officer; Internet privacy; Computer security; Computer science; Library science; Political science; 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"],"consensus_categories":[],"category_scores_codex":[0.002027603,0.000425222,0.0004868025,0.0002136059,0.001090431,0.0003262571,0.001327075,0.000404874,0.0005111925],"category_scores_gemma":[0.001010022,0.0003368516,0.0002051522,0.0004147732,0.0006534882,0.00128356,0.0006114416,0.0004885609,0.0004530626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175034,"about_ca_system_score_gemma":0.0002115215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338556,"about_ca_topic_score_gemma":0.0007906369,"domain_scores_codex":[0.9958344,0.0009604066,0.0005924804,0.0009604449,0.0007571773,0.0008951538],"domain_scores_gemma":[0.9973336,0.0004548125,0.0002769371,0.001202868,0.0001677399,0.0005639892],"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":[0.001995405,0.004793908,0.0077655,0.0009102726,0.0004820771,0.0001763832,0.3537766,0.00000114032,0.01424443,0.2507252,0.2710998,0.09402921],"study_design_scores_gemma":[0.0012161,0.0003957383,0.0002633356,0.0002948829,0.00003977703,0.0000118327,0.0006502688,0.00001449726,0.003888427,0.09492175,0.8977119,0.0005915035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773504,0.001219918,0.0007509182,0.06937197,0.004648831,0.001925784,0.0004033815,0.00084211,0.04348662],"genre_scores_gemma":[0.989528,0.006996036,0.00006378437,0.00114734,0.001579701,0.00009985398,0.00001675944,0.0000371015,0.0005314063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6266121,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039253895215536,"score_gpt":0.3017713685960842,"score_spread":0.2625174733805481,"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."}}