{"id":"W4385498064","doi":"10.3390/info14080437","title":"IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment","year":2023,"lang":"en","type":"article","venue":"Information","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Computer science; Computer security; Authentication (law); Resilience (materials science); Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722115,0.0001063517,0.0001085522,0.001010865,0.0001489618,0.00005429996,0.0008654238,0.0001700666,0.000004645829],"category_scores_gemma":[0.00009310109,0.000114735,0.00001624539,0.001948549,0.00005254304,0.0003278409,0.0004435291,0.0002017891,0.0005270294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008718011,"about_ca_system_score_gemma":0.00003123791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004907466,"about_ca_topic_score_gemma":0.00003473986,"domain_scores_codex":[0.99891,0.00002610256,0.0003452191,0.0002208737,0.0001863999,0.0003113876],"domain_scores_gemma":[0.9990531,0.00003422022,0.00009288287,0.0007097961,0.00003429727,0.0000756595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001090793,0.00009657176,0.005351003,0.00002224494,0.000004382506,0.00001264843,0.005505132,0.03716986,0.001435069,0.2740101,0.0004497193,0.6759324],"study_design_scores_gemma":[0.0004761594,0.000215754,0.01693585,0.00003473616,0.000002158001,0.00002228644,0.001579215,0.9368296,0.003654698,0.01532613,0.02450674,0.0004167249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860028,0.000008891413,0.1334543,0.00506777,0.00004267651,0.000361709,0.000003201933,0.0007646214,0.0002688305],"genre_scores_gemma":[0.975633,0.000005645699,0.02363553,0.0004861845,0.000011039,0.0002011505,0.000008152197,0.000003689005,0.00001566823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8996597,"threshold_uncertainty_score":0.6774073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808726259810101,"score_gpt":0.242147631607533,"score_spread":0.234060369009432,"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."}}