{"id":"W4241636803","doi":"10.1109/msec.2019.2917485","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.0007611847,0.001001057,0.001002859,0.005588139,0.00173207,0.004178917,0.00145461,0.0009702935,0.8385091],"category_scores_gemma":[0.009723479,0.0003288676,0.0005028351,0.003918678,0.0003346644,0.002075316,0.001629397,0.001149339,0.7974871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762825,"about_ca_system_score_gemma":0.003397229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005103134,"about_ca_topic_score_gemma":0.006370249,"domain_scores_codex":[0.999275,0.00008730304,0.00004031033,0.000108195,0.0004283136,0.00006087915],"domain_scores_gemma":[0.9948421,0.000890734,0.0002089555,0.0004083674,0.002989043,0.0006607554],"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":[0.00001460973,0.00002587286,0.0001207588,0.0001563127,0.000002739162,0.00001483554,0.000008703593,0.00008011763,0.0001054671,0.0009905352,0.9513307,0.04714927],"study_design_scores_gemma":[0.000005588106,0.0000128985,0.0003091802,0.0002224475,0.000004018158,0.00002931437,0.00002319141,0.00005492404,0.00009928174,0.0009719971,0.9982616,0.000005519797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000475127,0.004261528,0.003388903,0.004375539,0.01373015,0.0008175254,0.05587659,0.002298172,0.9147766],"genre_scores_gemma":[0.002144642,0.004294221,0.002154751,0.002909162,0.003419388,0.0006495672,0.04094875,0.001039999,0.9424395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1614909,"threshold_uncertainty_score":0.2303471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859915267797179,"score_gpt":0.2463032347687909,"score_spread":0.2277040820908191,"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."}}