{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305324,0.0004500019,0.0003998829,0.000764047,0.001181459,0.001488439,0.001294854,0.0009846827,0.005946829],"category_scores_gemma":[0.002448317,0.0002779896,0.0003421147,0.0009254999,0.00102985,0.003939817,0.002789055,0.001103228,0.001329356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009332511,"about_ca_system_score_gemma":0.001677956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807503,"about_ca_topic_score_gemma":0.003510464,"domain_scores_codex":[0.9990618,0.0002085335,0.00005488415,0.0001655259,0.0003723696,0.0001368442],"domain_scores_gemma":[0.9984637,0.0003005702,0.0001490169,0.000458411,0.0003975398,0.0002307474],"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":[0.000813509,0.0006951858,0.004634768,0.0006218295,0.00009616045,0.001870645,0.00162139,0.1289724,0.1096654,0.2607588,0.02249672,0.467753],"study_design_scores_gemma":[0.000273587,0.0007068195,0.0009345295,0.0001446035,0.00007072606,0.0007830927,0.0002778596,0.6847355,0.06660086,0.1080658,0.1372679,0.0001387569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07504552,0.001059233,0.8745332,0.001825322,0.0006427346,0.0005129525,0.0002832271,0.005325958,0.04077182],"genre_scores_gemma":[0.7363806,0.001209514,0.2372992,0.0004722871,0.0001257644,0.0004380899,0.00060437,0.000337446,0.0231327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005946829,"threshold_uncertainty_score":0.01989406,"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."}}