{"id":"W2126498500","doi":"10.1117/12.2018295","title":"High-fidelity modeling and simulation for wideband receiving system development","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Wideband; Waveform; High fidelity; Fidelity; Antenna (radio); SIGNAL (programming language); Radio frequency; MATLAB; Electronic engineering; Embedded system; Simulation; Electrical engineering; Telecommunications","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":[0.001736142,0.0002273546,0.0003780006,0.0001286519,0.0001981846,0.0003200352,0.0007288111,0.0001579184,0.00001081562],"category_scores_gemma":[0.001644409,0.0001744462,0.0003001877,0.0003290502,0.00009204094,0.000753377,0.0001584179,0.0001424765,0.00000219919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493952,"about_ca_system_score_gemma":0.00003125659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002072804,"about_ca_topic_score_gemma":1.807412e-7,"domain_scores_codex":[0.9971942,2.332231e-8,0.001195926,0.0004669062,0.0008694143,0.0002735032],"domain_scores_gemma":[0.9945375,0.0007435309,0.0005037774,0.00007881274,0.004021393,0.0001149952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009033512,0.00009684147,0.00101084,0.0004797914,0.0002413918,1.127961e-8,0.0005808941,0.04301016,0.2214793,0.7233765,0.002429769,0.007204119],"study_design_scores_gemma":[0.0006828476,0.00006567741,0.0008656507,0.0001710137,0.00004161811,0.000001944431,0.001526335,0.9605612,0.02336087,0.01124095,0.001259104,0.0002227668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790562,0.00003665673,0.01788269,0.001188369,0.0001020617,0.001250975,0.00001954732,0.0001032695,0.0003602737],"genre_scores_gemma":[0.7447932,0.000007276212,0.2545067,0.00004183604,0.0001341011,0.0003883484,0.000004500685,0.00002375821,0.0001002511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.917551,"threshold_uncertainty_score":0.7113711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841259860889852,"score_gpt":0.3000556248598416,"score_spread":0.2616430262509431,"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."}}