{"id":"W4232963918","doi":"10.1109/msec.2019.2953323","title":"Table of Contents","year":2020,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Table (database); Database; Computer science","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":[0.0009018896,0.0009574257,0.001183839,0.003485845,0.001742586,0.006189595,0.001543203,0.001670721,0.6764354],"category_scores_gemma":[0.008880634,0.0003850257,0.0006643476,0.002805084,0.0004639003,0.00378125,0.001948268,0.002319887,0.5702109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513806,"about_ca_system_score_gemma":0.002742799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110168,"about_ca_topic_score_gemma":0.002682496,"domain_scores_codex":[0.9990559,0.0001052994,0.00007045744,0.0001521862,0.000531664,0.00008446625],"domain_scores_gemma":[0.9940382,0.0009085901,0.0002675005,0.000396598,0.003423339,0.0009658484],"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":[0.000005358753,0.00001105831,0.00006314971,0.00008838518,0.000001385123,0.00001197163,0.000009652768,0.00002449361,0.00007287665,0.0005616962,0.9745132,0.02463678],"study_design_scores_gemma":[0.00000236093,0.000008642018,0.0001964861,0.0001271545,0.00000213721,0.00004184903,0.00002399556,0.00003563179,0.00004747307,0.0005565013,0.9989536,0.000004121545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006800726,0.009572643,0.003387918,0.03043383,0.1415647,0.0006141381,0.01518148,0.002537959,0.7960272],"genre_scores_gemma":[0.002542162,0.009751927,0.001493475,0.01116399,0.04120108,0.0002589526,0.01246008,0.001154211,0.9199742],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3235646,"threshold_uncertainty_score":0.4615256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789446418389459,"score_gpt":0.2466696576792579,"score_spread":0.2187751934953633,"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."}}