{"id":"W6947952523","doi":"10.4230/oasics.fmbc.2024.9","title":"Securing Aptos Framework with Formal Verification","year":2024,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Software security assurance; Formal verification; Computer security model; Formal methods; Scale (ratio)","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":[0.0106262,0.0008900902,0.0007153719,0.001462811,0.00118099,0.00443383,0.002354389,0.001321225,0.006872283],"category_scores_gemma":[0.02460928,0.0009327057,0.002571492,0.0006139249,0.004669735,0.005490538,0.005678121,0.003331915,0.00244523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721456,"about_ca_system_score_gemma":0.005821646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902168,"about_ca_topic_score_gemma":0.002662032,"domain_scores_codex":[0.9880236,0.00299748,0.001090204,0.001232155,0.005789849,0.0008666125],"domain_scores_gemma":[0.988718,0.005156927,0.0008935704,0.003103662,0.001850092,0.0002777419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002146349,0.0001293793,0.001677829,0.0005848783,0.00009682254,0.0009271092,0.001190695,0.0603468,0.01357467,0.8356495,0.007278852,0.07832873],"study_design_scores_gemma":[0.0002179993,0.000181744,0.0004901441,0.0003958857,0.0001311153,0.0006451523,0.000254239,0.3001113,0.03065268,0.532752,0.1340408,0.0001270427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005148227,0.0001374596,0.9845301,0.0004294054,0.0001002109,0.0002423599,0.000220926,0.005092511,0.004098898],"genre_scores_gemma":[0.2475645,0.0006356705,0.7398636,0.0005240237,0.000195643,0.0009274575,0.0012188,0.002044246,0.007025995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0106262,"threshold_uncertainty_score":0.05619735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344874304723181,"score_gpt":0.2469466188888526,"score_spread":0.2334978758416207,"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."}}