{"id":"W1540907071","doi":"","title":"Interferometric quadrature down-converter for 77 GHz automotive radar: Modeling and analysis","year":2010,"lang":"en","type":"article","venue":"European Radar Conference","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Interferometry; Radar; Port (circuit theory); Electronic engineering; Extremely high frequency; Quadrature (astronomy); Computer science; Automotive industry; Physics; Engineering; Optics; Telecommunications; 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":[0.000229007,0.0004094238,0.0002996523,0.0002043264,0.000170953,0.0004650109,0.0006377226,0.0003966659,0.001726538],"category_scores_gemma":[0.0003070248,0.0002841314,0.0003423834,0.0002371215,0.0001675896,0.0007034208,0.0001509807,0.0004958605,0.0007884623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000465123,"about_ca_system_score_gemma":0.0003888823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188628,"about_ca_topic_score_gemma":0.001265361,"domain_scores_codex":[0.9998475,0.00002558058,0.000003132918,0.00001329548,0.00009847761,0.00001199413],"domain_scores_gemma":[0.9999148,0.0000328707,0.00001264924,0.00001357773,0.00002292807,0.000003217134],"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":[0.0001533399,0.0001678141,0.002026518,0.0002230688,0.00007915072,0.000297407,0.0001997616,0.7680022,0.1151912,0.04568053,0.001224547,0.06675451],"study_design_scores_gemma":[0.000003786994,0.00003354488,0.0002323979,0.000004100638,0.000006699884,0.00005252206,0.00000612433,0.9898583,0.007537029,0.0008081688,0.001452891,0.000004449659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09293026,0.0008098165,0.8932479,0.0002141237,0.00003338297,0.00008825111,0.000102713,0.0005415091,0.01203206],"genre_scores_gemma":[0.8778268,0.00154907,0.1081918,0.00008803669,0.0000358709,0.0001761573,0.0001766793,0.0001309281,0.01182457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001726538,"threshold_uncertainty_score":0.005775869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204929321812949,"score_gpt":0.219346024055306,"score_spread":0.198853091874011,"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."}}