{"id":"W3124823369","doi":"10.22215/etd/2014-10483","title":"Scalable Parallel Simulation of General Electrical Circuits","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Scalability; Computer science; Multi-core processor; Parallel computing; Cloud computing; Computer engineering; Domain (mathematical analysis); Performance improvement; Distributed computing; 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":[0.0002440543,0.0002171705,0.0003644737,0.0002805539,0.00007776945,0.00008295739,0.0007895831,0.0002980847,0.00002646616],"category_scores_gemma":[0.00007848851,0.0002089896,0.0001231084,0.0004657345,0.00001141667,0.0001577157,0.00004448493,0.0001899144,0.0000238433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441472,"about_ca_system_score_gemma":0.0001241363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995015,"about_ca_topic_score_gemma":0.000006023378,"domain_scores_codex":[0.9983749,0.0000903182,0.0004772874,0.0004369429,0.0003756699,0.0002448746],"domain_scores_gemma":[0.9986408,0.0001184335,0.0003476332,0.000499457,0.0003253111,0.00006841256],"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":[0.00001199946,0.0001124383,0.00008702438,0.00008684357,0.00004036473,0.00000151497,0.0001996778,0.8402719,0.0003290012,0.08687916,0.007360721,0.06461936],"study_design_scores_gemma":[0.0001500118,0.00007982231,0.0004550065,0.00003390247,0.000009198876,8.358541e-7,0.000001118949,0.9913329,0.003013209,0.003512922,0.001170175,0.0002409254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001368277,0.0001165101,0.9433367,0.00001931509,0.0002412933,0.0001772785,4.934157e-7,0.0004776962,0.05426245],"genre_scores_gemma":[0.6500889,0.00006009499,0.3125536,0.0001787284,0.0001641315,0.00002367389,0.0002694062,0.00003701757,0.03662444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6487206,"threshold_uncertainty_score":0.8522347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154473698257526,"score_gpt":0.2821240189957637,"score_spread":0.2666766491700111,"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."}}