{"id":"W4319990355","doi":"10.1109/msec.2022.3223596","title":"Table of Contents","year":2023,"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); Information retrieval; Computer science; Database","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":[0.0003030552,0.0001028194,0.0001660453,0.000135765,0.00008675651,0.00007324397,0.001057294,0.00005948282,0.00003670808],"category_scores_gemma":[0.00006286442,0.0001010095,0.00007306943,0.0008368011,0.00003926169,0.0008196588,0.0002946765,0.0001268737,0.0006283387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001497683,"about_ca_system_score_gemma":0.00005457807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007645483,"about_ca_topic_score_gemma":0.00000800026,"domain_scores_codex":[0.9988416,0.00003779847,0.0003044198,0.0001828209,0.0003470116,0.0002863709],"domain_scores_gemma":[0.9989783,0.00004469033,0.0001217325,0.000620759,0.0001480996,0.00008640655],"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":[0.00003443109,0.000464838,0.004508542,0.0003391999,0.0001250789,0.00005859744,0.07159413,0.0001037756,0.005756568,0.6656601,0.2253828,0.02597196],"study_design_scores_gemma":[0.003408766,0.0002735845,0.02195945,0.0001525209,0.00002180417,0.00004067824,0.0005759956,0.1411145,0.2242128,0.1262227,0.4808577,0.001159481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347206,0.00008465159,0.03006259,0.002291983,0.002187618,0.0004027599,0.00002846019,0.0009929667,0.02922843],"genre_scores_gemma":[0.9986262,0.00003131483,0.0006028166,0.0004050843,0.0000368693,0.000007708714,0.000006974018,0.000005018897,0.0002780182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5394375,"threshold_uncertainty_score":0.8076233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025691243003249,"score_gpt":0.2639622713587879,"score_spread":0.2382710283555389,"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."}}