{"id":"W2031281329","doi":"10.1115/1.4006137","title":"Interconnect Joule Heating under Transient Currents using the Transmission Line Matrix Method","year":2012,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Transient (computer programming); Joule heating; Transmission line; Microelectronics; Transmission-line matrix method; Interconnection; Resistor; Mechanics; Materials science; Reliability (semiconductor); Matrix (chemical analysis); Electromigration; Electric power transmission; Electronic engineering; Electrical engineering; Engineering; Physics; Computer science; Voltage; Optoelectronics; Thermodynamics; Computational electromagnetics; Composite material","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":[0.000382338,0.0004201164,0.000281959,0.0002450541,0.0002298295,0.0004180187,0.0004623171,0.0004296641,0.001388501],"category_scores_gemma":[0.0008007559,0.0002369974,0.0004673004,0.0002748553,0.0003619537,0.0008101183,0.0002810733,0.0003867344,0.0001986782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318383,"about_ca_system_score_gemma":0.0003651868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736623,"about_ca_topic_score_gemma":0.001635785,"domain_scores_codex":[0.9998989,0.00003839822,0.000003706004,0.00001371357,0.00003629165,0.00000899642],"domain_scores_gemma":[0.9997074,0.0001811213,0.00003021387,0.00002535783,0.00004782766,0.000007999049],"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":[0.00007409679,0.00005686499,0.0008261566,0.0001755179,0.0000326295,0.0003076615,0.0003551924,0.854566,0.09584401,0.01566502,0.0004149194,0.03168188],"study_design_scores_gemma":[0.000004386342,0.00002276244,0.0001020471,0.000002707806,0.000003559893,0.0000231089,0.00001320219,0.9961644,0.002918955,0.000451979,0.0002897197,0.000003192152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1161137,0.0002706693,0.8777757,0.00009238139,0.00003215103,0.00007657613,0.0000427544,0.0004256415,0.005170403],"genre_scores_gemma":[0.8989268,0.0003299495,0.09734774,0.00002001527,0.00002337546,0.00008404398,0.0000395795,0.00009742795,0.003131146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001736623,"threshold_uncertainty_score":0.00464499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878871415306834,"score_gpt":0.3635799713554633,"score_spread":0.3347912572023949,"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."}}