{"id":"W4400727880","doi":"10.1109/iwcmc61514.2024.10592382","title":"MavSec: A safer version of MavLink","year":2024,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"SAFER; Computer science; Computer security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0030461,0.00004756508,0.00008826642,0.0002914867,0.00004082327,0.0003031779,0.0005376738,0.00001767419,0.00529412],"category_scores_gemma":[0.0004259326,0.00002907719,0.00007147645,0.000919268,0.00004090692,0.0001603849,0.0003771429,0.00004032089,0.004572693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010915,"about_ca_system_score_gemma":0.00002262518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002953966,"about_ca_topic_score_gemma":0.000005976602,"domain_scores_codex":[0.9982544,0.00003671741,0.000296749,0.000404539,0.0009028064,0.0001048395],"domain_scores_gemma":[0.9987203,0.0004940223,0.00002783345,0.0006439722,0.00007359598,0.00004023418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000466558,0.00001397859,0.0002601068,0.00000695366,0.0000063378,0.000007456466,0.0001230869,0.00006588273,0.0001827255,0.0188501,0.7559771,0.2245016],"study_design_scores_gemma":[0.00007058402,0.00002325477,0.002438482,0.00002690184,0.000006188526,0.000001928585,0.0004463298,0.04936443,0.0005428556,0.01599347,0.931024,0.00006160543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2032801,0.0004840052,0.1660868,0.005684092,0.008015987,0.0001951667,0.00004866149,0.0003048586,0.6159003],"genre_scores_gemma":[0.9241694,0.000002826535,0.002044164,0.00009118313,0.00004186549,4.67625e-7,0.000003929112,0.000002647577,0.07364351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7208893,"threshold_uncertainty_score":0.9962023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201048160514406,"score_gpt":0.4040763645214981,"score_spread":0.2839715484700575,"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."}}