{"id":"W3173173979","doi":"10.1109/newcas50681.2021.9462767","title":"Foster-based Transient Thermal Analysis of SiP for Thermomechanical Studies","year":2021,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec en Outaouais","funders":"","keywords":"Transient (computer programming); Finite element method; Reliability (semiconductor); Thermal; Thermal analysis; Heat transfer; Coupling (piping); Computer science; Junction temperature; Thermal transfer; Materials science; System in package; Mechanical engineering; Temperature measurement; Layer (electronics); Electronic engineering; Structural engineering; Engineering; Mechanics; Composite material; Physics","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":[0.00005378741,0.00007312196,0.0002459272,0.00008289194,0.00001409425,0.000003808325,0.00006875292,0.0000514794,0.00007342669],"category_scores_gemma":[0.0000281523,0.00005555391,0.0001773479,0.0003365829,0.00002416741,0.00001749847,0.00001315275,0.0000351813,0.000001006872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001284815,"about_ca_system_score_gemma":0.000007588694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001004726,"about_ca_topic_score_gemma":0.00003004848,"domain_scores_codex":[0.9995825,0.000006178906,0.0001428098,0.0000930295,0.00006349328,0.0001120442],"domain_scores_gemma":[0.999634,0.0001195166,0.00001077844,0.000168785,0.00005495597,0.00001197129],"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":[0.00007261818,0.0003339492,0.001215212,0.0007357138,0.01979591,0.00002933933,0.00141223,0.2136119,0.6081379,0.01665225,0.002266615,0.1357364],"study_design_scores_gemma":[0.000602045,0.0001071966,0.001922514,0.0000197985,0.001205745,3.896898e-7,0.002088616,0.212568,0.7800971,0.0005242935,0.0006552436,0.0002091293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726325,0.001531931,0.2232417,0.0004052246,0.00009291291,0.0001117804,0.00002332171,0.0003994047,0.001561143],"genre_scores_gemma":[0.9961084,0.00003404933,0.00370966,0.00004301934,0.000005763467,0.00002526161,0.000006241102,0.000008670424,0.00005889945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2234759,"threshold_uncertainty_score":0.2265423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558490358198759,"score_gpt":0.2765045196547829,"score_spread":0.2309196160727953,"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."}}