{"id":"W4238740452","doi":"10.1109/msec.2019.2936696","title":"Table of contents","year":2019,"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":"Regional Municipality of Niagara","funders":"","keywords":"Computer science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009218946,0.0008916771,0.0009845421,0.003701899,0.002069269,0.005681054,0.001704697,0.001439328,0.8258837],"category_scores_gemma":[0.0111484,0.000388838,0.0006205773,0.003492195,0.0005209471,0.003434281,0.002092954,0.001790328,0.7592824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404836,"about_ca_system_score_gemma":0.003453415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004457493,"about_ca_topic_score_gemma":0.004258015,"domain_scores_codex":[0.9989557,0.0001295415,0.00007255437,0.0002046692,0.0005420027,0.00009553214],"domain_scores_gemma":[0.9947867,0.0007936718,0.0002367046,0.0004591672,0.003037609,0.0006860415],"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":[0.00001301084,0.00001883582,0.0001604344,0.0001558262,0.000002008056,0.00002443641,0.00002895731,0.00005998188,0.00009637956,0.002233861,0.9606566,0.03654962],"study_design_scores_gemma":[0.000002830167,0.00000885286,0.0002601952,0.0001415464,0.000001932169,0.00004876783,0.00004271423,0.00003408231,0.0000536195,0.0008939162,0.9985072,0.000004391269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006191105,0.004164982,0.00298739,0.008056383,0.01476689,0.0006446901,0.03310215,0.002350327,0.9333081],"genre_scores_gemma":[0.004339186,0.005084828,0.002256517,0.005133695,0.005344543,0.0004006796,0.03167032,0.001157238,0.944613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1741163,"threshold_uncertainty_score":0.2483558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044429020811235,"score_gpt":0.3011725520140281,"score_spread":0.2707282618059157,"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."}}