{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045972,0.0001265011,0.0001707933,0.0003321563,0.00002591126,0.00002423701,0.0001267713,0.0001240573,0.0006147798],"category_scores_gemma":[0.00001386834,0.0001218433,0.0001150627,0.0006885167,0.00003002746,0.0001385851,0.00001058425,0.000114013,0.00001743476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007305353,"about_ca_system_score_gemma":0.000001447458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001337381,"about_ca_topic_score_gemma":0.000005395222,"domain_scores_codex":[0.9993652,0.000007989313,0.0001852616,0.0001455488,0.0001156328,0.0001804388],"domain_scores_gemma":[0.9996204,0.00003240589,0.00001655864,0.0002770704,0.00002773887,0.00002578783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.044968e-7,0.00001102998,0.0006668678,0.000007048314,0.0001564024,0.000002324712,0.000140227,0.4381337,0.549316,0.00002634203,0.00002287557,0.01151687],"study_design_scores_gemma":[0.00003824869,0.000006537,0.0001961064,0.000002733515,0.0001000982,8.819063e-7,0.00005080171,0.7996691,0.1996137,0.00001490687,0.0001799902,0.0001268403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737308,0.0002002302,0.01816273,0.00001265886,0.00004882297,0.0001053435,0.000004433817,0.002781226,0.004953753],"genre_scores_gemma":[0.9968432,0.00001643165,0.003012411,0.00002388106,0.00003667114,0.00000444753,0.000002834482,0.0000242916,0.00003584481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3615354,"threshold_uncertainty_score":0.6731408,"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."}}