{"id":"W2095331392","doi":"10.1163/156939309788019921","title":"Analysis of Multiport Receivers Using FDTD Technique","year":2009,"lang":"en","type":"article","venue":"Journal of Electromagnetic Waves and Applications","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite-difference time-domain method; Detector; Microstrip; Nonlinear system; Diode; Electronic circuit; PIN diode; Computer science; Electronic engineering; Optics; Telecommunications; Physics; Electrical engineering; Optoelectronics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442829,0.000347012,0.0003807621,0.0003160899,0.0002244442,0.0005951928,0.0004835604,0.0006266912,0.002197082],"category_scores_gemma":[0.0006160981,0.0002938395,0.0005125563,0.0001673753,0.0002762232,0.0008357685,0.0002985972,0.0005238543,0.0005591729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459218,"about_ca_system_score_gemma":0.0004061474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007556454,"about_ca_topic_score_gemma":0.0006300209,"domain_scores_codex":[0.9997861,0.00001920803,0.000006938122,0.00001889668,0.0001542094,0.0000146477],"domain_scores_gemma":[0.9997823,0.00008495096,0.00002253412,0.00002922842,0.00007605694,0.00000505325],"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":[0.00009088719,0.00006847478,0.0013763,0.0003998495,0.000109145,0.0005224716,0.0004093514,0.5052204,0.294987,0.09584576,0.001783655,0.09918666],"study_design_scores_gemma":[0.000006113511,0.00003431431,0.00019178,0.00001512044,0.00001462524,0.0002195524,0.00002445355,0.9613031,0.02809257,0.003333865,0.00675144,0.00001295359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01534702,0.0002151353,0.978951,0.00008054926,0.0000328469,0.00002558377,0.00002566603,0.0002518873,0.005070278],"genre_scores_gemma":[0.5400696,0.001291211,0.4393638,0.00013657,0.0000630745,0.0001313594,0.0001673855,0.0001925326,0.01858438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002197082,"threshold_uncertainty_score":0.007349968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012944889575132,"score_gpt":0.2788594524556326,"score_spread":0.2687300035598812,"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."}}