{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214401,0.0001066079,0.0001840837,0.00003658194,0.00006033061,0.00007150147,0.001111978,0.00005307715,0.00005805992],"category_scores_gemma":[0.0000747041,0.0001048726,0.00007290939,0.0003727373,0.0000362118,0.0008689467,0.0002524391,0.0001516594,0.0001949493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076543,"about_ca_system_score_gemma":0.00005657874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436074,"about_ca_topic_score_gemma":0.00000271877,"domain_scores_codex":[0.9989403,0.00003693446,0.0003118465,0.0001937264,0.000305379,0.0002118207],"domain_scores_gemma":[0.9991229,0.00002479386,0.000139329,0.0004153072,0.0001436532,0.0001539828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009449068,0.000628834,0.004157352,0.0005237688,0.0001576159,0.00004587273,0.1728324,0.00007974819,0.01090196,0.6583596,0.12965,0.02256831],"study_design_scores_gemma":[0.003457996,0.0004638713,0.003359523,0.00007827548,0.00002391897,0.00002478939,0.0004024069,0.1312874,0.3333592,0.02520909,0.5013583,0.0009753205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6231863,0.0003280563,0.3076409,0.01664166,0.001628105,0.000712181,0.00004357253,0.0007469118,0.0490723],"genre_scores_gemma":[0.9949486,0.00001436016,0.001891942,0.003052523,0.00005510105,0.000003517455,0.000002782155,0.000004290898,0.00002688513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6331505,"threshold_uncertainty_score":0.4276582,"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."}}