{"id":"W4317208262","doi":"10.18280/ijsse.120614","title":"A User-Centered Security Approach to Create an IoT based Multi-Layered Fog-Cloud Architecture for Data Optimization in Raised Bed Farming","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Architecture; Field (mathematics); Distributed computing; Cluster analysis; Low latency (capital markets); Real-time computing; Computer network; Artificial intelligence; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104612,0.0001653734,0.0002495948,0.0004337678,0.0001333026,0.0001626226,0.001508076,0.00004501481,0.000001853493],"category_scores_gemma":[0.0001699515,0.0001782628,0.00007057204,0.0002573035,0.000009796648,0.0003953871,0.0006419403,0.000394792,9.490745e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466683,"about_ca_system_score_gemma":0.0000812634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002311286,"about_ca_topic_score_gemma":0.000003961481,"domain_scores_codex":[0.9984089,0.00008173563,0.0005221936,0.0003350702,0.0004070901,0.0002450184],"domain_scores_gemma":[0.9990968,0.0001517281,0.000196069,0.0002484479,0.0001685571,0.000138463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003007456,0.0002503271,0.0002087804,0.00003324194,0.0000543249,0.00002572038,0.003945939,0.9911283,0.0003089277,0.0004966199,0.00005157376,0.003195495],"study_design_scores_gemma":[0.002195501,0.0001055728,0.0002144568,0.00006511196,0.000006227974,0.00009973791,0.00007737974,0.9922663,0.00009838382,0.00009620155,0.004591644,0.0001834999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0469581,0.00007739076,0.9491675,0.000815628,0.002677105,0.0002252885,0.00002780923,0.0000367488,0.00001436919],"genre_scores_gemma":[0.7502639,0.000006961302,0.2488137,0.000183838,0.000632817,0.000006845919,0.00007396987,0.00001591675,0.000001967164],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7033058,"threshold_uncertainty_score":0.7269345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670371947168277,"score_gpt":0.264067721758367,"score_spread":0.2373640022866842,"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."}}