{"id":"W4393025023","doi":"10.1371/journal.pone.0295190","title":"TurboBlom: A light and resilient key predistribution scheme with application to Internet of Things","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Overhead (engineering); Resilience (materials science); Computer network; Node (physics); Key (lock); Distributed computing; Routing protocol; Routing (electronic design automation); Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001197431,0.00008501271,0.0001243627,0.0000677811,0.00001972305,0.0001002238,0.0002724518,0.00004927249,0.000002735234],"category_scores_gemma":[0.00002087097,0.00007379291,0.00001337072,0.0003504182,0.00002135054,0.0002427676,0.0001599687,0.0001217625,0.00002195682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004299899,"about_ca_system_score_gemma":0.00001770611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000268922,"about_ca_topic_score_gemma":0.000004813077,"domain_scores_codex":[0.9990788,0.000018624,0.0001465163,0.000325218,0.0002960187,0.0001348479],"domain_scores_gemma":[0.9994423,0.00004779539,0.0000389571,0.0003168461,0.00008517881,0.00006885632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002424978,0.002308636,0.004237036,0.001954297,0.0007614935,0.00004824744,0.03862347,0.0001932485,0.3962413,0.5211025,0.005773524,0.02851374],"study_design_scores_gemma":[0.0001738833,0.0003479278,0.0006482755,0.001125838,0.00004112577,0.00001037062,0.00002530908,0.7314708,0.2634275,0.001509164,0.001016191,0.0002036745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6777222,0.0004966229,0.3179821,0.00258948,0.00003756079,0.0003741348,0.000002929011,0.0002307515,0.0005641732],"genre_scores_gemma":[0.9638814,0.00001597254,0.03584876,0.00009104285,0.00004663259,0.00003553463,0.000005880069,0.000007302364,0.00006742258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7312775,"threshold_uncertainty_score":0.3009188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127795891757403,"score_gpt":0.2048759464099369,"score_spread":0.1935979874923629,"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."}}