{"id":"W2386437332","doi":"","title":"Sneak Circuit Analysis Method Based on Adjacency List for Power Electronic Converters","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Adjacency list; Correctness; Converters; Electronic circuit; Adjacency matrix; Power (physics); Network analysis; Topology (electrical circuits); Algorithm; Electrical engineering; Theoretical computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028523,0.0006401339,0.0003590368,0.003072601,0.0009062657,0.0007108031,0.0006546067,0.0003299334,0.006828746],"category_scores_gemma":[0.0008721385,0.0002145714,0.0005934213,0.001541058,0.0003687703,0.001378674,0.0003724298,0.0004446079,0.0009112079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588615,"about_ca_system_score_gemma":0.0006925255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004799768,"about_ca_topic_score_gemma":0.004663108,"domain_scores_codex":[0.9996755,0.00005451992,0.00002249431,0.00006248897,0.0001513228,0.000033614],"domain_scores_gemma":[0.9996467,0.0001106569,0.00002449286,0.00003815967,0.0001692682,0.00001071874],"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":[0.0002726129,0.0000830431,0.001985947,0.0003583825,0.0001010297,0.000496352,0.0005007218,0.130804,0.09955389,0.1059827,0.007117289,0.6527441],"study_design_scores_gemma":[0.00003001501,0.0001245923,0.001165526,0.00004095447,0.000089302,0.0005026719,0.000178244,0.867328,0.05678643,0.05613204,0.01754462,0.00007765917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01517428,0.0001430655,0.9790103,0.00004319898,0.0000278424,0.00006507908,0.0001143621,0.001651303,0.003770501],"genre_scores_gemma":[0.3354293,0.0002820078,0.6564115,0.00006494448,0.00003285547,0.0001784491,0.0005652225,0.0002680894,0.006767604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006828746,"threshold_uncertainty_score":0.02284443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583216599390363,"score_gpt":0.2572781554940636,"score_spread":0.23144598950016,"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."}}