{"id":"W4283215019","doi":"10.1109/infocomwkshps54753.2022.9798289","title":"BigSecurity 2022 Program","year":2022,"lang":"en","type":"article","venue":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences; Qinghai Nationalities University; Qinghai University; State Key Laboratory of Advanced Optical Communication Systems and Networks; University of Waterloo; Memorial University of Newfoundland; Nanjing University of Science and Technology; Università degli Studi di Genova; Southern University of Science and Technology; Fudan University; China University of Mining and Technology; Southwest Jiaotong University; Nanjing University; Peking University; Consiglio Nazionale delle Ricerche; Chinese Academy of Sciences; University of Windsor","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003548295,0.0008034314,0.0003147685,0.001041718,0.001078332,0.002173126,0.001434257,0.001183139,0.2176208],"category_scores_gemma":[0.00300217,0.0002186326,0.0004310684,0.0005095609,0.0004197881,0.001438982,0.002331806,0.001624914,0.08119395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587003,"about_ca_system_score_gemma":0.005504639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002484653,"about_ca_topic_score_gemma":0.00578644,"domain_scores_codex":[0.9991,0.0001578935,0.00001143111,0.0001160492,0.0003975685,0.0002171228],"domain_scores_gemma":[0.9945834,0.0004511151,0.0001095107,0.0004517171,0.001576181,0.002828047],"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":[0.0001180829,0.00008604023,0.0002295857,0.000024719,0.000003992984,0.00001099493,0.00001321314,0.000131266,0.0003935647,0.009847773,0.9628986,0.02624216],"study_design_scores_gemma":[0.0000839101,0.00009747267,0.0006325763,0.00002611751,0.000003882443,0.00002424589,0.00002923762,0.00143118,0.001061635,0.008382619,0.9882211,0.000005975972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005831982,0.0005668732,0.02749552,0.05148765,0.007824379,0.00130724,0.02230926,0.01079531,0.8723817],"genre_scores_gemma":[0.03284895,0.0006503381,0.01917256,0.02228025,0.002680761,0.00146551,0.03892104,0.002795083,0.8791855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2176208,"threshold_uncertainty_score":0.7280142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056796105777829,"score_gpt":0.3086525473377618,"score_spread":0.2480845862799835,"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."}}