{"id":"W2972786462","doi":"","title":"Design of GNSS Antenna Using Polarizer","year":2019,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Polarizer; Optics; Coaxial antenna; Antenna (radio); Wideband; Antenna measurement; Antenna factor; Physics; Radiation pattern; Electrical engineering; 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":[0.00006660185,0.0004452721,0.0002975165,0.0003213559,0.0001766978,0.0005181148,0.0004407516,0.000535792,0.001927954],"category_scores_gemma":[0.00009641146,0.0002213993,0.0002662072,0.0003961837,0.0001866344,0.0003253139,0.0003208086,0.0002724067,0.001368596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031067,"about_ca_system_score_gemma":0.0001982766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002306841,"about_ca_topic_score_gemma":0.0002418126,"domain_scores_codex":[0.9998833,0.00002162855,0.000005253076,0.00003238588,0.00003930279,0.00001810463],"domain_scores_gemma":[0.9999245,0.000008327137,0.0000222604,0.000009816857,0.0000267394,0.000008303015],"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":[0.0003992651,0.00005559162,0.002509694,0.0003219279,0.00008592055,0.0007202065,0.0002475571,0.02055616,0.8262774,0.02093782,0.004788511,0.1231],"study_design_scores_gemma":[0.0001552856,0.001158934,0.005821374,0.00008162756,0.0001205786,0.004358603,0.0002956184,0.2016354,0.6842012,0.003112519,0.09889513,0.0001637643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1689732,0.001180483,0.7721915,0.0007261437,0.0005194237,0.0001628441,0.000244733,0.001454993,0.05454658],"genre_scores_gemma":[0.7309682,0.001222123,0.2483055,0.0003252224,0.000159474,0.0002271969,0.0003198985,0.000110733,0.01836163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001927954,"threshold_uncertainty_score":0.00644958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721729722444655,"score_gpt":0.2396297964529926,"score_spread":0.192412499228546,"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."}}