{"id":"W1500936007","doi":"10.1109/ectc.1995.517792","title":"Nonlinear transient thermal analysis using circuit simulation techniques","year":2002,"lang":"en","type":"article","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transient (computer programming); Nonlinear system; Transient analysis; Convergence (economics); Computer science; Heat transfer; Relaxation (psychology); Iterative method; Rate of convergence; Dependency (UML); Process (computing); Thermal; Thermal analysis; Iterative and incremental development; Convective heat transfer; Heat transfer coefficient; Algorithm; Mechanics; Transient response; Thermodynamics; Key (lock); Engineering; Physics; Electrical engineering","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":[0.0001431645,0.0004731937,0.0003803528,0.000324119,0.0002726509,0.0003711322,0.0005455935,0.0004437585,0.00306853],"category_scores_gemma":[0.0005478935,0.0001977158,0.0004994589,0.0002935975,0.0003473842,0.0005444649,0.0003387131,0.0004560398,0.0005639282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713783,"about_ca_system_score_gemma":0.0004605677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700233,"about_ca_topic_score_gemma":0.002062459,"domain_scores_codex":[0.999895,0.00002091173,0.000003820715,0.00001302413,0.00005492275,0.00001228618],"domain_scores_gemma":[0.9998624,0.00007340432,0.00001132432,0.00002272217,0.00002534111,0.0000047103],"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":[0.00004245872,0.00003175905,0.0002823029,0.000129953,0.00003319852,0.00007118347,0.00006771347,0.9279554,0.02588934,0.01713238,0.0006733779,0.02769097],"study_design_scores_gemma":[0.000003619914,0.000007426717,0.00005058747,0.000003330454,0.000003410982,0.00001283072,0.000003376487,0.9943931,0.003038065,0.001182981,0.001298137,0.000003192029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01965544,0.0001941728,0.9681323,0.00007737711,0.00003506924,0.00006249479,0.00007894764,0.0008421037,0.01092208],"genre_scores_gemma":[0.7609092,0.001078229,0.2206059,0.00008699547,0.00006271603,0.0003980408,0.0003229279,0.0003543734,0.01618171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00306853,"threshold_uncertainty_score":0.01026529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739793383145132,"score_gpt":0.2556153326483432,"score_spread":0.2082173988168919,"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."}}