{"id":"W4250445530","doi":"10.1109/msp.2015.129","title":"Table of Contents","year":2015,"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); 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":[0.0003481671,0.0001065064,0.0001756074,0.00007407969,0.00004661639,0.00007748046,0.001064594,0.0000612323,0.00001809827],"category_scores_gemma":[0.00009120969,0.0001016286,0.00005694845,0.0003223336,0.00004397325,0.001094403,0.0002416751,0.000128447,0.0001880477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828312,"about_ca_system_score_gemma":0.0001209472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414081,"about_ca_topic_score_gemma":0.00001061103,"domain_scores_codex":[0.9988393,0.00004747068,0.0003088092,0.0001675606,0.0004024581,0.0002343768],"domain_scores_gemma":[0.9987084,0.00002246936,0.0001471999,0.0006316314,0.0003162342,0.0001741271],"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":[0.00007080207,0.0009100098,0.005244155,0.0001596757,0.000104743,0.00003227004,0.107882,0.00007501108,0.001340416,0.6844925,0.1833271,0.01636126],"study_design_scores_gemma":[0.005479986,0.0004706799,0.003124758,0.0001039104,0.0000235454,0.00008092402,0.0007679371,0.05751479,0.1702015,0.1432908,0.6178656,0.001075707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551418,0.0003624968,0.1465065,0.002225877,0.003169846,0.0005203387,0.00002214218,0.0004789061,0.09157217],"genre_scores_gemma":[0.9967728,0.000007797705,0.002471792,0.0005523345,0.00004356087,0.000004695477,0.000002999378,0.00000413847,0.0001398323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5412018,"threshold_uncertainty_score":0.4144293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712562156391669,"score_gpt":0.265806811393872,"score_spread":0.2286811898299553,"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."}}