{"id":"W2553060661","doi":"10.1109/lawp.2017.2669183","title":"A Novel Single-Source Surface Integral Method to Compute Scattering From Dielectric Objects","year":2017,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Admittance; Scattering; Dielectric; Computation; Surface (topology); Integral equation; Operator (biology); Boundary (topology); Boundary value problem","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":[0.0001680834,0.0002480956,0.000325933,0.00009309405,0.0004997973,0.0004827865,0.0003083984,0.00003705857,0.00002223607],"category_scores_gemma":[0.000005621692,0.0002289518,0.0001053888,0.000136721,0.00007257143,0.0002023234,0.00008080062,0.000187502,0.00001645957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002628875,"about_ca_system_score_gemma":0.00001546532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263184,"about_ca_topic_score_gemma":0.00002911661,"domain_scores_codex":[0.9986479,0.00005120871,0.0002540537,0.0004941462,0.0001780329,0.0003747183],"domain_scores_gemma":[0.9991173,0.00007083308,0.0002176451,0.0003957887,0.00006149022,0.000136984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001636082,0.00005154126,0.005413456,0.000007853333,0.00008964218,0.000002209764,0.0004078257,0.0003238225,0.9298713,0.00008773279,0.0001403317,0.06358794],"study_design_scores_gemma":[0.002626522,0.0004578485,0.04503947,0.0006767838,0.0003680254,0.00001852835,0.0007117855,0.22432,0.7227839,0.0003902743,0.0007356091,0.001871261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5915089,0.000009244184,0.4054401,0.002708958,0.00008928416,0.00009687305,0.000008896833,0.00003108364,0.0001067176],"genre_scores_gemma":[0.9868447,0.000001729778,0.01156061,0.0009559277,0.000391616,0.00001374927,0.00001854038,0.00003102009,0.0001821748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3953358,"threshold_uncertainty_score":0.9336385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533736084259507,"score_gpt":0.2524004150069719,"score_spread":0.2370630541643768,"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."}}