{"id":"W4205612339","doi":"10.1109/msec.2021.3078205","title":"Table of Contents","year":2021,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Machine Learning and ELM","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; Natural language processing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001130213,0.0009193167,0.001359697,0.005091019,0.001248853,0.006745836,0.001447769,0.001096989,0.7307783],"category_scores_gemma":[0.01066403,0.0003393877,0.0005039061,0.004378151,0.0003263711,0.002962179,0.001744026,0.001869937,0.7023101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566867,"about_ca_system_score_gemma":0.002247932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382743,"about_ca_topic_score_gemma":0.001949655,"domain_scores_codex":[0.9991086,0.0001009162,0.00007539092,0.0001542502,0.0004802769,0.00008060443],"domain_scores_gemma":[0.9895483,0.001253448,0.0006491116,0.0004891352,0.006031323,0.002028611],"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":[0.00001173249,0.00001232964,0.00004052005,0.0001743058,0.000001956344,0.00001103903,0.000005869689,0.00002639996,0.0001171532,0.0004545641,0.9743516,0.02479246],"study_design_scores_gemma":[0.000005512002,0.00001170276,0.0002157932,0.0001727777,0.000002801379,0.00003463195,0.00001392795,0.00002687185,0.0000496102,0.0003877601,0.9990743,0.000004323005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006315856,0.01459359,0.004162905,0.02119415,0.1671417,0.001227526,0.03198053,0.003466257,0.7556017],"genre_scores_gemma":[0.002000767,0.009157997,0.001686091,0.00837746,0.03791209,0.0005029178,0.01923362,0.001252322,0.9198766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2692217,"threshold_uncertainty_score":0.384012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715861963009706,"score_gpt":0.262534334037944,"score_spread":0.2453757144078469,"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."}}