{"id":"W4391646306","doi":"10.1007/s11276-023-03648-3","title":"Employing blockchain and IPFS in WSNs for malicious node detection and efficient data storage","year":2024,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"King Saud University","keywords":"Computer science; Byzantine fault tolerance; Computer network; Internet of Things; Wireless sensor network; Computer security; Distributed computing; Fault tolerance","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":[0.00111928,0.0002717652,0.0005052167,0.00046708,0.0007149013,0.0009295222,0.0008648027,0.0006281165,0.002723104],"category_scores_gemma":[0.002583093,0.0001849942,0.0001595701,0.0007681568,0.0007184593,0.001822563,0.001043304,0.000528691,0.0004624662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005518308,"about_ca_system_score_gemma":0.001188449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379387,"about_ca_topic_score_gemma":0.002286543,"domain_scores_codex":[0.9993916,0.0001681715,0.000042607,0.0001037108,0.0002018104,0.00009213518],"domain_scores_gemma":[0.9982425,0.0007003443,0.0001569981,0.0004956974,0.0003158015,0.00008868209],"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":[0.00181244,0.0004805349,0.004876777,0.0006761014,0.0001074876,0.0008438128,0.00047687,0.3843972,0.1617234,0.1145302,0.005644359,0.3244308],"study_design_scores_gemma":[0.00005661158,0.0003409195,0.0004909387,0.00003599734,0.00002417224,0.0002251672,0.00007753559,0.911798,0.04926779,0.03141518,0.006241064,0.00002662327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162049,0.0009631876,0.7707295,0.0007088293,0.0002471111,0.0002601421,0.0002493824,0.001464578,0.009172395],"genre_scores_gemma":[0.9692328,0.0002443513,0.02768157,0.00004300808,0.0000261785,0.00006965406,0.00006650539,0.00002016973,0.002615707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002723104,"threshold_uncertainty_score":0.009109676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564444776150774,"score_gpt":0.2535298180037272,"score_spread":0.2378853702422195,"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."}}