{"id":"W4252374608","doi":"10.1109/msec.2019.2921179","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"IoT and Edge/Fog Computing","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":[0.0002220218,0.0001139969,0.0002153348,0.00006797281,0.00005141776,0.00006532724,0.001167346,0.00005716944,0.000009208591],"category_scores_gemma":[0.00003375973,0.0001108597,0.00007420962,0.0002939058,0.00002434143,0.0004004101,0.0003819437,0.0001442184,0.0002966756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001815703,"about_ca_system_score_gemma":0.00005137734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009542265,"about_ca_topic_score_gemma":7.247708e-7,"domain_scores_codex":[0.9988562,0.00003866777,0.0002414121,0.0002972198,0.0002538472,0.0003125872],"domain_scores_gemma":[0.9989186,0.00006762748,0.0001194904,0.0007123168,0.0001117521,0.00007022254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001235152,0.002108889,0.2266857,0.001195838,0.0004292785,0.0001176121,0.05906204,0.0001708762,0.1479027,0.0567219,0.3983035,0.1071781],"study_design_scores_gemma":[0.004312156,0.0006778568,0.02483093,0.0004781527,0.00003120254,0.00006421365,0.00008218847,0.1149954,0.4039137,0.05778769,0.3912483,0.001578279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661011,0.0001340864,0.01374249,0.0002807349,0.01038128,0.0001907097,4.030535e-7,0.0001235526,0.009045684],"genre_scores_gemma":[0.996774,0.000005283874,0.002329048,0.0001841807,0.0003807046,0.000001371653,9.367266e-7,0.000007356679,0.0003171585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256011,"threshold_uncertainty_score":0.4520727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701445632865068,"score_gpt":0.2432502727796642,"score_spread":0.2262358164510135,"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."}}