{"id":"W3161786311","doi":"10.1109/tasc.2021.3105715","title":"SuperVoxHenry: Tucker-Enhanced and FFT-Accelerated Inductance Extraction for Voxelized Superconducting Structures","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Applied Superconductivity","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Nanyang Technological University; Ministry of Education - Singapore","keywords":"Inductance; Superconductivity; Electrical reactance; Equivalent series inductance; Topology (electrical circuits); Extraction (chemistry); Magnetic flux; Multigrid method","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":[0.000289125,0.0004709703,0.0004217427,0.0003117426,0.0002985695,0.0006657477,0.001083071,0.0005978035,0.006207889],"category_scores_gemma":[0.00106003,0.0003287597,0.0004071665,0.0002964767,0.0003618035,0.001014124,0.0007585764,0.0006141552,0.0009903008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506404,"about_ca_system_score_gemma":0.001153149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435119,"about_ca_topic_score_gemma":0.005424293,"domain_scores_codex":[0.9998804,0.00001851527,0.000004608744,0.00001241182,0.00006841611,0.00001559029],"domain_scores_gemma":[0.9997138,0.0001242506,0.00003512449,0.00004310332,0.000061621,0.00002203018],"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":[0.000202928,0.00007783846,0.002440356,0.0004415476,0.00007339803,0.0006144433,0.0006433808,0.7398486,0.0775307,0.05687223,0.01151402,0.1097407],"study_design_scores_gemma":[0.00001599583,0.0000218097,0.0001461747,0.00001019536,0.000004640694,0.00007571081,0.0000264978,0.9812942,0.008719394,0.003371412,0.006304687,0.000009330354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0230931,0.0001380829,0.9649007,0.0001062451,0.00003334168,0.00006270422,0.0002558699,0.00412908,0.007281055],"genre_scores_gemma":[0.3784474,0.0002380446,0.6081077,0.0001414289,0.00002800833,0.0001969654,0.0008584582,0.001808797,0.0101732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006207889,"threshold_uncertainty_score":0.02076745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691683265739911,"score_gpt":0.2772024229756822,"score_spread":0.2502855903182831,"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."}}