{"id":"W1538953764","doi":"","title":"77 GHz compact multi-port radar sensor for automotive applications","year":2011,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Radar; Automotive industry; Transmitter; Port (circuit theory); Extremely high frequency; Millimeter; Electronic engineering; Computer science; Waveguide; Automotive electronics; Range (aeronautics); Engineering; Electrical engineering; Materials science; Optics; Telecommunications; Physics; Aerospace engineering; Optoelectronics","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":[0.0002501152,0.0004533566,0.0005143799,0.0002573951,0.0001167853,0.000396969,0.0006043383,0.0004468032,0.003339507],"category_scores_gemma":[0.000296022,0.0001482206,0.0001852242,0.000201255,0.0001056661,0.0006412156,0.000260446,0.0003060297,0.001673447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939201,"about_ca_system_score_gemma":0.000209071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133937,"about_ca_topic_score_gemma":0.000276579,"domain_scores_codex":[0.9997689,0.00003024644,0.000008352643,0.00004241701,0.0001289613,0.00002117367],"domain_scores_gemma":[0.999856,0.00003426238,0.00002465756,0.00002090458,0.00004823937,0.000015854],"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":[0.0002035944,0.00004681822,0.0006850837,0.0001752429,0.00001687043,0.0001601043,0.00003356427,0.00198239,0.9237164,0.001241498,0.001018253,0.07072025],"study_design_scores_gemma":[0.00004871126,0.0007397653,0.002469155,0.00002330319,0.00007298666,0.001936271,0.00004272152,0.05156087,0.9217243,0.0003922361,0.02095486,0.00003488275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3967396,0.005218799,0.5728542,0.0005942942,0.0004495069,0.0001436317,0.0004309246,0.003618531,0.01995057],"genre_scores_gemma":[0.8408874,0.001050489,0.1454967,0.0002481874,0.000133223,0.0000736017,0.0003460014,0.00008264314,0.01168179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003339507,"threshold_uncertainty_score":0.01117176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982123326593558,"score_gpt":0.2368610284722786,"score_spread":0.207039795206343,"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."}}