{"id":"W4417403393","doi":"10.1109/impact67645.2025.11281703","title":"Channel Component Design Sensitivity Study for Accuracy Enhancement In DDR5 Memory Channel Solution Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Channel (broadcasting); Flexibility (engineering); Signal integrity; Printed circuit board; Sensitivity (control systems); SIGNAL (programming language); Scalability; Routing (electronic design automation); Component (thermodynamics); Cable gland","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00296852,0.0006118139,0.001186791,0.001184291,0.0003383676,0.00009683015,0.0002527125,0.0002323502,0.0002098233],"category_scores_gemma":[0.0002741634,0.0006566326,0.0004080222,0.002157409,0.00005445164,0.0002551653,0.0002500675,0.0004325751,0.00001209793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773699,"about_ca_system_score_gemma":0.0001320392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347575,"about_ca_topic_score_gemma":0.003674813,"domain_scores_codex":[0.9954005,0.0009124275,0.001212823,0.001074908,0.0004111217,0.0009881917],"domain_scores_gemma":[0.9968715,0.001759882,0.0001506133,0.0008752472,0.0001975362,0.0001452044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001335901,0.00699153,0.0003705471,0.0007712251,0.002880614,0.00002447004,0.006107349,0.8731286,0.09303133,0.00005292291,0.0008746319,0.01443088],"study_design_scores_gemma":[0.002559044,0.0009127437,0.01603212,0.0001879989,0.00142176,5.666149e-7,0.001179148,0.8941786,0.08260745,0.000379202,0.00001396048,0.0005273562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4677026,0.0006303776,0.527061,0.0003606495,0.0004660875,0.003436866,0.00001200042,0.00008882734,0.0002416247],"genre_scores_gemma":[0.9969678,0.0001593114,0.001472279,0.00006730065,0.00007227992,0.0005272075,0.00004890933,0.00002856743,0.0006563619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5292652,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777228410170019,"score_gpt":0.2827867001685287,"score_spread":0.2550144160668285,"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."}}