{"id":"W2153818665","doi":"10.1109/iscas.2008.4541860","title":"MEMS automotive collision avoidence radar beamformer","year":2008,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Lens (geology); Microelectromechanical systems; Beam steering; Radar; Microstrip; Optics; Luneburg lens; Materials science; Footprint; Beam (structure); Engineering; Electrical engineering; Optoelectronics; Antenna (radio); Physics; Aerospace 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":[0.0002912987,0.0005147784,0.0003603909,0.0002567211,0.0002155468,0.0003521082,0.0004879834,0.0004977735,0.004220804],"category_scores_gemma":[0.0003099056,0.0002274511,0.0002271237,0.0002706136,0.0001574768,0.000371418,0.00036374,0.000298684,0.001802965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306371,"about_ca_system_score_gemma":0.0003184801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004661648,"about_ca_topic_score_gemma":0.0009676841,"domain_scores_codex":[0.9997066,0.00004884769,0.0000117508,0.00005416949,0.0001461391,0.00003253269],"domain_scores_gemma":[0.9997343,0.00005174162,0.00005384907,0.00001827948,0.0001251322,0.00001660321],"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":[0.0003912491,0.00004715232,0.001447643,0.0001799958,0.00009042543,0.0003006865,0.00010579,0.01202623,0.7392947,0.006880891,0.004712756,0.2345225],"study_design_scores_gemma":[0.0001777972,0.001592944,0.006390112,0.00005161685,0.0001444341,0.002215601,0.0001054596,0.1689328,0.7511556,0.001061203,0.06808408,0.00008838424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04176439,0.001146403,0.9447443,0.0003432504,0.0002643737,0.00009930356,0.0001672967,0.001151073,0.01031964],"genre_scores_gemma":[0.3912441,0.001161758,0.5801823,0.0007665324,0.0002882901,0.000178731,0.0004128936,0.00009528302,0.02567017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004220804,"threshold_uncertainty_score":0.01412004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298128953313192,"score_gpt":0.198885164360078,"score_spread":0.185903874826946,"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."}}