{"id":"W4293254024","doi":"10.1109/pst55820.2022.9851991","title":"Garage Door Openers: A Rolling Code Protocol Case Study","year":2022,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Protocol (science); Doors; Computer science; Software deployment; Computer security; Code (set theory); Wireless; Adversary; Computer network; Mobile device; Access control; Cryptographic protocol; Embedded system; Telecommunications; Operating system; Cryptography","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":[],"consensus_categories":[],"category_scores_codex":[0.0004696854,0.00009775129,0.0001208881,0.0001216489,0.000632242,0.0001829675,0.002372508,0.00002067422,0.00009316981],"category_scores_gemma":[0.00002108745,0.00008525781,0.00003458398,0.0005622566,0.00002607592,0.0003046169,0.002988165,0.0002596322,0.00001630408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004300033,"about_ca_system_score_gemma":0.00006255828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000290956,"about_ca_topic_score_gemma":0.0001235148,"domain_scores_codex":[0.9988866,0.0001666571,0.0002167947,0.0003002448,0.0002346314,0.0001950887],"domain_scores_gemma":[0.9983178,0.00006201211,0.0000806073,0.001462556,0.0000353147,0.00004174696],"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":[0.0001184668,0.008426807,0.01234675,0.00007883523,0.0002041129,0.01640041,0.02307445,0.01448401,0.0008038147,0.2348535,0.01685934,0.6723496],"study_design_scores_gemma":[0.008793982,0.004032104,0.0003953594,0.00001801712,0.00002163173,0.006147602,0.1025102,0.5807484,0.009052074,0.006493682,0.2800461,0.001740854],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2965069,0.0000653674,0.4206974,0.006837633,0.0002808171,0.2509031,0.000009645529,0.006806313,0.01789286],"genre_scores_gemma":[0.8143251,3.620957e-7,0.01980566,0.000275247,0.000005021553,0.1651473,3.220347e-7,0.000006019578,0.0004349434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6706087,"threshold_uncertainty_score":0.4862758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952906712369642,"score_gpt":0.3262269804451828,"score_spread":0.2766979133214864,"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."}}