{"id":"W4365804585","doi":"10.1109/fcsit57414.2022.00005","title":"Message from the General Chair: FCSIT 2022","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Beijing; Pleasure; China; Computer science; Operations research; Management; Political science; Engineering; Psychology; Law; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002939483,0.001550896,0.001048758,0.0009443082,0.003696483,0.005021752,0.001459536,0.01744128,0.08129629],"category_scores_gemma":[0.007743939,0.000515689,0.001204538,0.0007968135,0.000910583,0.002550529,0.00168508,0.0151888,0.08936442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003335436,"about_ca_system_score_gemma":0.007261747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01410378,"about_ca_topic_score_gemma":0.0188157,"domain_scores_codex":[0.9983419,0.0001785738,0.0001024192,0.0002774287,0.0007280195,0.0003716137],"domain_scores_gemma":[0.9936825,0.0004626485,0.0002005545,0.0001315336,0.003554757,0.001968021],"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":[0.00002292502,0.000008539749,0.00006546338,0.00001736017,0.000001299734,0.00003573249,0.000006975566,0.00001332577,0.00006185371,0.0001246405,0.9979444,0.001697371],"study_design_scores_gemma":[0.00002193641,0.00003496341,0.0007924555,0.00006005927,0.000005255804,0.0000718666,0.00009974739,0.0001158122,0.0001616268,0.0001936726,0.9984182,0.00002447426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0009684747,0.002702774,0.0007628875,0.5884854,0.368405,0.0003346434,0.001791154,0.000787142,0.03576266],"genre_scores_gemma":[0.007948527,0.001714876,0.0005316787,0.5338802,0.08158682,0.0004666946,0.001904901,0.0004098332,0.3715565],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08129629,"threshold_uncertainty_score":0.2719632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423243067255935,"score_gpt":0.2204602473168137,"score_spread":0.2062278166442544,"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."}}