{"id":"W4406014806","doi":"10.1109/impact63555.2024.10818904","title":"Cable Bending Impact to High-Speed SERDES","year":2024,"lang":"en","type":"article","venue":"","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"SerDes; Bending; Structural engineering; Computer science; Electrical engineering; Engineering; Telecommunications","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":[0.0003858331,0.0005192586,0.0002173073,0.0003758762,0.0004011614,0.0003860965,0.0004068703,0.000623099,0.004307827],"category_scores_gemma":[0.001819483,0.0001853346,0.0002970862,0.0003659195,0.0002839115,0.0006948066,0.0004796482,0.000495686,0.00103595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004910783,"about_ca_system_score_gemma":0.0001576905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006245911,"about_ca_topic_score_gemma":0.001108936,"domain_scores_codex":[0.9994525,0.00008160933,0.00003004417,0.00009526568,0.0002408677,0.00009970532],"domain_scores_gemma":[0.9983528,0.0004663332,0.0003441471,0.0003009441,0.0004288011,0.0001069886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002282223,0.0001843568,0.07464469,0.0007016036,0.0001693154,0.008420512,0.001241334,0.1496844,0.6493543,0.001927632,0.004353131,0.1070365],"study_design_scores_gemma":[0.00007615438,0.00696204,0.1262019,0.0001675992,0.0003450401,0.009091728,0.001573918,0.1551931,0.6747987,0.001578238,0.02385858,0.0001530265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777811,0.0004763272,0.01557023,0.0001799976,0.0001161292,0.00002427869,0.0002271389,0.001032974,0.004591856],"genre_scores_gemma":[0.9976974,0.00007984653,0.0007532584,0.00004239776,0.000007150325,0.000003982682,0.0001023461,0.00004414892,0.001269395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004307827,"threshold_uncertainty_score":0.01441115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009584637376812734,"score_gpt":0.2349552854449552,"score_spread":0.2253706480681425,"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."}}