{"id":"W4288070531","doi":"10.18280/ts.390305","title":"Optimized Piccolo Lightweight Block Cipher: Area Efficient Implementation","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Block cipher; CBC-MAC; Embedded system; Power consumption; Cipher; Cryptography; Block (permutation group theory); Resource consumption; Computer hardware; Parallel computing; Computer engineering; Algorithm; Power (physics); Encryption; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007259466,0.0002116001,0.0002023689,0.0002733943,0.001027793,0.0001955616,0.0007821945,0.00002246004,0.005722087],"category_scores_gemma":[0.000002577751,0.000214036,0.0001649985,0.0008099607,0.00003382908,0.0001875247,0.0004574696,0.0001746886,0.00001449492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672715,"about_ca_system_score_gemma":0.000106488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007089432,"about_ca_topic_score_gemma":0.00002180561,"domain_scores_codex":[0.9974322,0.0002064543,0.0005384536,0.0005126173,0.0008358925,0.0004743258],"domain_scores_gemma":[0.9991525,0.00008076018,0.0001934923,0.000366785,0.00007899406,0.0001275084],"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":[0.0004329806,0.005872389,0.006923065,0.00008881501,0.0008739135,0.0002746978,0.04516321,0.1909976,0.01632221,0.5369282,0.1020737,0.09404927],"study_design_scores_gemma":[0.02060817,0.002989996,0.01712732,0.00002026861,0.0002164451,0.0001794754,0.009470338,0.6884983,0.009126726,0.005174872,0.2443132,0.002274898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5722009,0.0001137138,0.4214021,0.002738902,0.0006685516,0.001303039,0.000110176,0.0003345186,0.001128157],"genre_scores_gemma":[0.9839098,0.000006592204,0.01468138,0.0007337519,0.00006588405,0.0004602421,0.00009283119,0.00001295306,0.00003658948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5317534,"threshold_uncertainty_score":0.9951868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629848083923148,"score_gpt":0.2603557130619845,"score_spread":0.244057232222753,"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."}}