{"id":"W4390856242","doi":"","title":"Thermal Evaluation of Substrate Technologies Used for Power Peak Management in SSPC Modules","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Thermal management of electronic devices and systems; Substrate (aquarium); Materials science; Power (physics); Thermal; Computer science; Nuclear engineering; Engineering; Mechanical engineering; Geology; Physics; Thermodynamics","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":[0.004281057,0.0002519804,0.000315298,0.0004366538,0.00006022636,0.00007281279,0.0009786993,0.0003547744,0.00001680068],"category_scores_gemma":[0.0005154012,0.0002682895,0.0001275153,0.0003680617,0.0001569402,0.00007717183,0.0006927225,0.0003685237,0.00001014316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140496,"about_ca_system_score_gemma":0.00004571063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001884,"about_ca_topic_score_gemma":0.0006475787,"domain_scores_codex":[0.9979694,0.0004868236,0.0004674873,0.0004150381,0.000376797,0.0002844562],"domain_scores_gemma":[0.9972627,0.0003910065,0.0001897698,0.001427036,0.0007081924,0.00002136298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003622637,0.0008738398,0.006531611,0.003042185,0.001074309,0.00001249624,0.01452449,0.1573616,0.01919252,0.3529556,0.001972497,0.4424226],"study_design_scores_gemma":[0.001750436,0.000001150367,0.04422003,0.002989062,0.0001890276,0.000001077231,0.003116635,0.5801162,0.2776837,0.08817176,0.0008622648,0.0008986273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330758,0.001656951,0.04552608,0.002126128,0.0002850961,0.001511425,0.00007372291,0.002305269,0.01343947],"genre_scores_gemma":[0.9782023,0.0006821332,0.01994995,0.000001718568,0.000002652494,0.0005133416,0.0001674791,0.00005197733,0.000428425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.441524,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328964411442202,"score_gpt":0.2531336998879696,"score_spread":0.2202372587437494,"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."}}