{"id":"W4402835293","doi":"10.1109/isvlsi61997.2024.00153","title":"A Variation-Aware and Energy-Efficient Spintronic True Random Number Generator","year":2024,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Spintronics; Random number generation; Variation (astronomy); Computer science; Generator (circuit theory); Power (physics); Algorithm; Physics; Condensed matter physics; Ferromagnetism","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":[0.0001070058,0.00008332816,0.00008066986,0.00003968401,0.00009636822,0.0003724054,0.0002054574,0.00003208906,0.0001565917],"category_scores_gemma":[0.00000370267,0.00006684114,0.00004035529,0.000286766,0.00001640605,0.0001118636,0.0001130315,0.00004549953,0.0001747396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002458343,"about_ca_system_score_gemma":0.0000768032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005163858,"about_ca_topic_score_gemma":0.000008986198,"domain_scores_codex":[0.999272,0.00002086241,0.0001274077,0.0003189615,0.0001201612,0.0001405362],"domain_scores_gemma":[0.9995394,0.00005603317,0.0000139286,0.0003019646,0.00002249649,0.00006620777],"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":[7.497295e-7,0.00002607988,0.000007824766,0.000009013117,0.00001514411,0.000005047427,0.0001967875,0.0002745299,0.001489479,0.9763747,0.002094998,0.01950566],"study_design_scores_gemma":[0.0002280158,0.000005144816,0.0001729738,0.000006231962,0.000007169272,0.00002542186,0.000004574007,0.9200981,0.0007533429,0.002077508,0.07652456,0.00009699895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007476957,0.0004527562,0.9873263,0.001349362,0.0002575962,0.0000589663,0.00000253272,0.0003662105,0.002709289],"genre_scores_gemma":[0.9878159,0.00002690282,0.008663063,0.0002230958,0.0001042851,0.00005998838,0.000006374596,0.000007609931,0.003092799],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9803389,"threshold_uncertainty_score":0.3591114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005121716893541622,"score_gpt":0.2197663566609752,"score_spread":0.2146446397674336,"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."}}